Summer of Science 2019

Summer of Science is an initiative by the Maths and Physics Club, to encourage, and help discover, the joy of learning. To know more, click here!

Summer of Science Projects 2019

	Financial Mathematics Study of financial mathematics deals with a lot of mathematical modeling of financial markets. It throws light on different types of derivatives and their advantages. Shaktiswaraj Sahoo can help you to take a step forward in Finance.
	Introduction to Graph Theory The origin of graph theory is basically by the problem of bridges "Seven bridges of Konigsberg". Now-a-days this topic has great applications in Mathematics as well as in Computer Science. Dipanshu Sharma studies the basic introduction of Graph Theory, its application and uses. You can find a precise report of his learnings here.
	Machine Learning Artificial intelligence is the future and the future is here. Ipsit Mantri attempts to get familiarized with machine learning and more specifically the problem of "image classification" . You can find a report of his work here.
	Deep Learning and Computer Vision Computer Vision is the science and technology that allows machine to see. Deep Learning is a Machine Learning technique inspired by brain function and implements artificial neural networks. Shubham Lohiya attempts to understand the concepts behind deep learning and neural networks, and how it can be applied in computer vision for object recognition.
	Machine Learning | DSA Title: What is Machine learning? Description: The idea of machine learning and Artificial Intelligence has revolutionized our world. Shalabh Gupta studies the basics of ML and goes on to explore the important machine learning algorithms. Title2: DSA Description: The algorithms that shape our lives and much more. Shalabh Gupta studies basic data structures and algorithms required to excel in competitive programming.
	Data Structures and Algorithms Shalabh Gupta studies various algorithms and data structures used to implement them so as to excel in competitive programming.
	Machina Learning & Neural Networks In this project, Akshit Srivastava explores the basics of Machine Learning, a field that attracts many. Although he doesn't delve deep into mathematics, he has a look at some important concepts. You can find a report of his learnings here.
	Deep Learning and Image Processing This project is about Deep Learning and Image processing. It basically covers each and every one needs to design a neural network classifier for image classification.
	Thermodynamics & Entropy The name of the project suggests that the project will be the same old lame thermodynamics and stuff, but fortunately, its not so. We have been taught classical physics in our curriculum till today, and we have developed a point of view to see the world through its laws, which are properly set up in our subconscious mind. But then quantum comes and claims its all wrong! we should see the world through quantum! Shrinivas Prasad Kulkarni through this report shows that there is another point of view to see this world, and that's Thermodynamics, through which the world looks beautiful, yet familiar.
	Understanding the Role of Diatoms in Energy Conversion and Storage efficiency and high cost of manufacturing or production. these are the two hurdles which are blocking the energy sector from booming. sagar explores how an algae which is actually nothing but food to various marine life can bring revolutionary changes in this energy sector through the concept of biomaterials.
	Machine learning Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Rishabh Thapliyal studies the basic mathematics behind machine learning. You can find a report of his work here.
	Neural networks and deep learning, Big Data,Machine Learning title-Neural networks and deep learning, Big Data,Machine Learning description-Himanshu singh solves the real world using machine learning
	Machine Learning And It's Applications "Computers are able to see, hear and learn. Welcome to the future." Machine Learning is a field of study that gives computers the ability to learn without being explicitly programmed. Somya Singh explores how to apply the most advanced machine learning algorithms to problems such as anti-spam, image recognition, clustering, building recommender systems, and many others as well and also how to select the right algorithm for the right job, as well as how to become an expert at ‘debugging’ and figuring out how to improve a learning algorithm's performance. You can find a report of her learnings here.
	Special Theory of Relativity "Time and Tide wait for none" is the saying, but time with respect to what? Get to know and learn how and why time, and relativity are related, along with various other phenomenons and applications of Special Theory of Relativity, by just going through Nilotpal Kumar's work over here.
	Financial mathematics Financial literacy is important for everyone in general. “There is gold everywhere. Most people are not trained to see it.” So this was Roopal Singh's attempt to find out the gold and it gave her the diamonds. To know more, find a report of her work here.
	Topology - Classification of Surfaces The concept of topological spaces grew out of the study of the real line and Euclidean space and the study of continuous functions on these space. In this report, Aryaman Maithani begins with an introduction to topology and ends with a result that was one of the earliest successes of algebraic topology - classifying all compact surfaces into three categories.
	Understanding Machine Learning and Data Structures To Understand and implement various machine learning algorithms and ideas along with some useful data structures hoping to improve the efficiency of some algorithms and also implementing them in a project.
	Cosmology and Dark matter Cosmology is the field of astronomy that deals with the systematic and scientific study of the origin and evolution of the universe and also helps us unravel the cosmological mysteries. Akhilesh Ranjan Kumar tries the same to achieve and get the information of few of the mysteries and the dark side of the universe which can be found in his work.
	Computer Vision Computer Vision SOS report including sources and credits By- Abhishek Raghuvanshi
	Stock Market analysis How to investigate about a company's potential and more importantly what to look into the stocks we are opting to invest in. So lets go with Hemant Kumar and find out various aspects starting from describing financial statements to finally knowing about choosing right stocks.
	Cryptography According to the Dictionary, the meaning of Cryptography is the act of writing codes or ciphers. The field will enable us to learn how the crypto primitive works and learn how to use them correctly and reason them if necessary. We are surrounded by a world where security and privacy are one of the basic necessities of human and that’s what study of Cryptography enables us to do. Akhilesh Ranjan Kumar tries to know the core concept and it's use in the real world. He also get to know the importance to security in the cyber world.
	Stock Market Analysis This project highlights the challenges involved in stock selection. The first part deals with creating and deciphering financial statements. The later part deals with various key points involved in choosing stocks.
	Topology Topology is weird; a topologist sees no difference between a cup and a doughnut. It explains how a material's shape can be completely deformed into a new one without losing its core properties. It is used in many branches of mathematics, such as differentiable equations, dynamical systems, knot theory, and Riemann surfaces in complex analysis. It is also used in string theory in physics, and for describing the space-time structure of universe. Millen Kanabar explores the basics of this discipline in this project. You can find a report of his observations here.
	Abstract Algebra Abstract algebra deals with different algebraic structures such as groups , fields and rings that have different properties and beautiful consequences for example quintic polynomials are not solvable. Praneet here tries to learn more about them.
	Financial Mathematics and Stock Market Analysis Title: Financial mathematics and stock market analysis Description:In a huge competitive world, one must learn how to make money work for them instead of the opposite. People have created unimaginable fortunes by investing their money in financial markets. In the time of crisis, when most people loses their savings and worth, a person with good knowledge of these markets and emotional intelligence makes huge amount of wealth. Dhananjay Bhardwaj studies mathematical basis behind the pricing of different assets in financial markets.You can find a report of his work here.
	MACHINE LEARNING Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
	Consumer Theory and Behavioural Economics Consumerism is a phenomenon that all of us are heavily influenced by. In this project I, Sai Anirudh, have gone through some of the fundamental theories and concepts used to describe the behaviour of us as consumers. This involves a mathematical model of a consumer and the choices and actions he takes, along with the psychological motives behind these.
	DATA STRUCTURES AND ALGORITHMS Data Structures and algorithms are the roots of almost all of the fantastic and booming areas of computer science and artificial intelligence. Parth Laturia makes an attempt to study the basics of these topics and tries to implement them so that they can be used efficiently whenever and wherever required in the future and that they serve their purpose to improvise our digital environment to the best.
	Quantum Mechanics What are the fundamental features of Quantum mechanical description of our world and in what aspects and why solution of schrodinger equation resemble waves or particles, What is uncertainity and is it a limitation of our instruments or a fact of nature ? Shlok Vaibhav tries to explore answers to these questions.
	Stock Market Analysis Let's have a inch deep mile wide analysis of stock market with VINOD SARAN and understand the real game of making money.Along the way, there might be some typical terms but don't forget to google them to have the real taste of stock market.
	Consumer and Behavioural Economics Consumer is the backbone of the market. Consumer's choice and behaviour drives the economy. This SoS project by Samyak Shah explores this interesting aspect of Economics. It also includes marketing case studies.
	Quantum Computation Quantum computation is the use of quantum-mechanical phenomena such as superposition and entanglement to perform computation. A quantum computer is used to perform such computation, which can be implemented theoretically or physically. For problems above a certain size and complexity, we dont have enough computational power on Earth to tackle them. To stand a chance at solving some of these problems, we need a new kind of computing. Universal quantum computers leverage the quantum mechanical phenomena of superposition and entanglement to create states that scale exponentially with number of qubits, or quantum bits. Kritti Sharma explores quantum computation and quantum information theory from the perspective of theoretical computer science and develop a strong grip on linear algebra, discrete probability and theory of computation by getting a fair idea of the quantum circuit model of computation; basic quantum algorithms like Grover, Simon, etc; quantum entanglement.
	Financial Mathematics Finance is a very broad term and can have a lot of meaning. But one can surely say that it determines how the world works. Therefore, it is important to know the mathematics behind finance. It is a very powerful tool and if used in the right way can help in development of economies but at the same time, its improper use can lead to events such as the Great Depression of 1930 that affected the whole world. Adamya Sharma explores this field and tries to get acquainted with the basic concepts and terminologies. You can find his report here.
	Computer Vision Computer Vision has become ubiquitous in our society, with applications in search, image understanding, mapping and image captioning.Recent developments in neural network approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. Karan Agarwalla deep dives into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. He explores CNNs and their connection with Computer Vision.
	Special Theory of Relativity Physics is all about motion of things and the forces which cause that motion, be it the motion of planets around a star, motion of electrons and protons in an atom, or the motion of molecules which results in emergent properties like temperature and so on. The role of relativity is to study how that motion looks from different perspectives like moving, accelerating and so on.
	Data Structures and Algorithms Mathematical modeling of computational problems is very common and necessary nowadays. Prayas Jain studies the common algorithms, algorithmic paradigms, and data structures used to solve these problems. Getting to know the relationship between algorithms and programming, and basic performance measures and analysis techniques for these problems is the aim.
	Game Theory Game theory studies mathematical models of strategic interaction between rational decision-makers trying to anticipate the actions and reactions of players. It applies to a wide range of behavioral relations, and is now an umbrella term for the science of logical decision making in humans, animals, and computers. Meeta Malviya has tried to understand and explain how people and organisations act in startegic situations using general principles of Game Theory. Here is her report.
	Unraveling the Cosmos:A Beginner's Guide to Astronomy The night sky has been a source of awe to humans for millennia.But these days,that wonder is not really evident,since most of the people in urban areas have lost that connect with the sky,being unable to view it's beauty.Follow Sumedh, as he rekindles that joy and wonder through Unraveling the Cosmos,a brief report of his findings.
	Machine Learning and Neural Networks In the recent past, we have advanced to a new realm of computers where they are at par with any human learning paradigm. Be it image processing, classification, clustering, sentiment understanding, etc. Rhushabh Gedam tries to give you a holistic understanding of machine learning, neural networks and how it works as he demystifies the maths and codes behind various algorithms.
	Deep Learning and Computer Vision Computer Vision is the science and technology that allows machine to see. Deep Learning is a Machine Learning technique inspired by brain function and implements artificial neural networks. Shubham Lohiya attempts to understand the concepts behind deep learning and neural networks, and how it can be applied in computer vision for object recognition.
	DIFFERENTIAL GEOMETRY IN STRUCTURAL GEOLOGY There is obvious need to describe the complex shapes of curved lineations and surfaces, and the attractiveness of accomplishing this in a quantitative manner. Therefore it is important to study the principles and methods of differential geometry that appear to have the greatest potential for application to structural geology. Misari Bhanani attempts to understand the underlying mathematical concepts to study and explain the structural geology.
	Phylogenetics A revolutionary theory in the field of biological sciences is the 'Theory of Evolution', put forth by Charles Darwin in the mid 19th century. But how do modern day scientists study evolution and how do they figure out which species are closely related, given that many new species are discovered each year ? Archishman Saha explores the field of Phylogenetics which involves large number of computational algorithms used for comparison within a set of species, and is crucial for developing trees that trace back the evolutionary history of organisms and show how species evolved on a relative time scale.
	How Mechanics Works at Large Speeds It is E=mc^2 everywhere ,but what does the equation mean and what are the effects on dynamics and kinematics and speeds close to that of light.Here is a report on Special Theory Of Relativty by Priyatham Manohar.
	Nanotechnology and its Applications The nanoscale is something really small, but it's also the next big thing in science.Nanotechnology is a trending interdisciplinary area in research due to its vast scope for application in various fields, from biological systems to electronics and structural engineering. In this report Roshni Singh seeks to look at it from a quantum mechanical point of view and covers rudiments of the quantum mechanical,statistical and thermodynamic knowledge required to understand nanoscale transport processes and nanotechnology.
	Data Structures & Algorithms Data Structures & Algorithms is an integral part of computer science. Data structures deal with containing data and algorithms tell us how to perform a program in least possible time. Pulkit Agrawal explores this Fundamental topic in Computer Science. You can find a report of his learning here.
	Consumer Behavior & Behavioral Economics The emerging field of Behavioral Economics & Consumer Behavior is taking up the industry by storm. Shrideep Tekade explores & tries to gain insights in this interesting field.
	Mechanical Design and Vehicle Dynamics Have you ever looked around you and tried to figure out the way things work? Like how does a geared bicycle changes it's speed at different gears, what is the general mechanism behind a gripper and why car's steering only controls the front wheels...M Vishnu Sankar makes an attempt to get a visual feel for the concepts which answer such inquisitive questions using CAD and simulation softwares
	Graph Theory Ever wondered how Google finds your search results so quickly? How many colours are actually required to colour a map? How to find the shortest route to any place?How to design the best cost-effective network? All of these heavily depend on graph theory, an integral part of discrete mathematics. Fathima Zarin Faizal explores the basics of graph theory in this report and also looks at some of its applications.
	Robotics You will gain an introduction to the mechanics of flight and the design of quadrotor flying robots and will be able to develop dynamic models, derive controllers, and synthesize planners for operating in three dimensional environments.
	Biological Physics Biophysics is a very interesting upcoming field with enormous research opportunities.Through this project, watch Diptashree Banerjee unravel a little of this huge arena comprising Reynolds number,molecular motors, partition function, Turing patterns and learn about this enthralling field along with her.
	The Theories of Relativity The report is more than enough...
	Data Structures And Algorithms Computer Science is mainly a field of problem solving. Data structures and algorithms are a way of mastering the art of problem solving.Valay Bundele studies DSA to learn about different problem solving techniques and advance in the field of computer science.You can find a report of his work here.
	Classical Field Theory Classical Field Theory is the study of how fields interact with matter, through a bunch of laws and equations. Here, Adway Girish goes deeper into the worlds of Mechanics and Electrodynamics, also learning some fancy mathematics along the way.
	Introduction to Astronomy and Astrophysics I Vanshika Gupta found this project very useful and helpful in getting knowledge about objects and phenomena that are found beyond our solar system. I got knowledge related to theoretical simulations and observation with both terrestrial and space-craft-borne instruments of the electromagnetic radiation and high-energy particles emitted by celestial bodies.Here is the report of my study.
	Machine Learning Machine learning is the ability of computers to learn by themselves by analyzing the data feed into them and give the output. I Prasanna Telawane aspires to learn how the computer learns to sort data, how it predicts the value which are dependent on the input data. I also aspire to know the application of such algorithms in the computer world.
	A Mathematical Investigation of Financial Markets Fell in love with finance watching movies like The Wolf of Wall Street and The Big Short, or always wanted to be a star investor like Warren Buffet? Through this project, Ayushmaan Dev Verma attempts to analyse the various mathematical techniques and models underlying the pricing and hedging of derivatives- the 'backbone' of the financial world. The project also touches upon different charting methods used to study the stock market and how reckless trading in the US housing market caused one of the worst economic depressions in the post-war era.
	Digital Image Processing Digital Image processing is not just limited to adjust the spatial resolution of the everyday images captured by the camera. Image Processing is becoming widespread and organizations are using it in a variety of ways, including improving facial recognition techniques, TV broadcasting, analysis of Xrays etc. Aishwarya Agarwal studies the basic image enhancement techniques and applications of Image Processing. You can find report of her learning here!
	Machine Learning: A Guide to make Machines learn Machine learning is a new born but a very powerful tool today. No one can deny of the importance of this field, and as great people say that "one who does not Innovate will vanish" this applies to today's world also and thus one need to be equipped with this art so as to move ahead. In this document I had designed a simple guide for one to get started with Machine Learning.
	Galois Theory and Abstract Algebra Well what do fields and groups have in common?? How are field extensions created and applied?? I, Yash Sanjeev, have undertaken to probe these questions in this report.
	dark matter and dark energy Existence of dark matter and dark energy. Scientists ran simulations for formation of galaxies but they couldn't get the results without taking into consideration dark matter. Punit Manjani studies relic abundance of dark matter, its order of cross section and why rate of expansion of universe is increasing.
	TRAFFIC SIGN RECOGNITION SYSTEM Vrooom... It thrills us all to ride a fast car, and even better if you can sit back behind the wheel and rest, while the car itself does it all for you. Amid all the moral and ethical debate surrounding the evolution of self driving cars, regarding the safety of other road users, there are systems which can identify traffic signs on the go. Nidhi Kapoor explores the working of such classifiers making use of deep learning.
	Quantum Computing and Algorithms Quantum Physics and Computer Science being the very interesting fields they are, have another beautiful field at their intersection. Saumya Goyal tries to understand what the field of Quantum Computing is all about, and finds a few questions which Quantum Computers answer faster than classical ones today. Will these number of questions rise in the future? You can find a report of his study here.
	MACHINE LEARNING AND COMPUTER VISION Machine learning and Computer Vision always go hand in hand. Many concepts developed as part of ML are utilized in CV for interesting applications like text detection and object recognition. Join Mohammad Ali Rehan as he understands this profound relationship better and then develops his own UNO card recognition program. You can find a report of his work here.
	Exploring the Universe If you're a newcomer to amateur astronomy, eager to begin exploring the night sky, you'll have to overcome astronomy's biggest hurdles - learn to identify constellations. Shiven Raut aims to get a fair understanding of location of stars around us and a brief study of black holes, dark matter and dark energy here
	Discrete Structures Curious to know the math behind the Computers? Ever heard of colouring a graph? There is a whole domain of mathematics called Discrete Structures, which is subtly different from Calculus or Euclidean geometry you have been learning. Athul C D tries to explore and unravel the beautiful domain of Discrete Structures here
	An Introduction to Blockchain Technology and Use Cases Ever heard about Bitcoin or Blockchain, but don't have the faintest idea or probably you are among one of those using these terms interchangeably. If so, let me tell you, what "Email is to Internet" is very close to what "Bitcoin is to Blockchain" and if this enthuses you, then this report will surely give you a much needed insight to form your opinion about it. This is the sum and substance of Abhilaksh's venture into the NEXT BIG THING of Technology and its use cases and presents it in the most lucid manner possible with self thought analogies and simpler takeaways after every technical definition. Having omitted any underlying mathematics, he has structured it in such an order which is conducive for easy learning.
	Data Structures and Algorithms Trees, graphs and stacks form the fundamentals of modern day computing and algorithm design. Though they may seem devilishly simple, they form the foundations of all programs and software we use. Now, Shreya Pathak unravels the intricacies of various data structures and their algorithms here.
	Online Machine Learning and Optimization I have studied Optimization and Online ML.I hope on doing IE-501 Optimization Techniques this semester to enhance the knowledge
	Cryptography and Network Security In the new online era, ever feared the hackers during an online cash transaction, say while paying your monthly bills? Had the cryptographic algorithms stopped improving, chances were there that you could lose your hard-earned money in a blink, anytime. Here, Avyakta Wrat studies the evolution of secure communication techniques, from the historical Caesar cipher to the modern wireless communication over the web today; and the endless competition between the hackers and the computational power of computers to get the better of the other, while predicting the future consequences of each others move.
	Signal Processing Name: Aditya Harakare Mentor: Saurabh Kumar Signal processing is a sub-field of electrical engineering that concerns the analysis, synthesis, and modification of signals. In this project we will go through a journey starting right from mathematical preliminaries required for signal processing to the applications of DSP in real life such as image processing. We will walk through the various algorithms like Karplus Strong and learn about the Fourier Transform and its implementation. We will learn about different types of filters and concepts like Sampling and Interpolation. We will also get acquainted with the things we use in everyday life like MP3 and JPEG and learn the science behind it.
	PROBABILITY Probability is a measure quantifying the likelihood that events will occur. Esha Kolte explores probability which is the likelihood of an event occurring and the consequences, to which extent the process is affected by an event. You can find the report of her work here.
	Neural Networks in Computer Vision Neural networks are at the current forefront of machine learning, with applications in every thinkable field. How are these networks built, how do they train themselves, and what is the ideology and math behind such abstract structures? Here, Swarada Bharadwaj attempts to understand how neural networks help computers perceive and understand images.
	Basics of Quantum Mechanics Quantum Mechanics greatly revolutionises the way we perceive how the universe is at work. Immanuel Williams explores this bizzarely weird world, a world riddled with uncertainties, probabilities, paradoxes and mysteries that haunt scientists, even to this day!
	GAME THEORY The project was very good got the introduction to game theory and learnt some very good terms and concepts of game theory
	Introduction to Cryptography In the era of bank frauds , bitcoins heist and leaking credit card details, Devank Rajvanshi tried to dive into the branch of cryptography that keep our transactions and credentials secret in order to create world a safer place.
	Data Structures and Algorithms The analytical concepts of Computer Science have revolutionized our understanding of how machines work. Data Structures and Algorithms play a vital role in Computer Science. Aishit Dharwal attempts to prepare for Data Structures and Algorithms here.
	Cosmology Cosmology is a branch of astronomy that involves the origin and evolution of the universe, from the Big Bang to today and on into the future.The questions that vex humanity: “Where do we come from? What are we? Where are we going?” Cosmology grapples with these questions by describing the past, explaining the present, and predicting the future of the universe.
	Blockchain And Cryptocurrency Blockchain and Cryptocurrency has been one of the most exciting new field in the world of Finance and Computer Science. Bitcoin had taken over the markets by storm recently. Tanul Gupta gives you an insight into the same. It is crisp, informative and a great read. You can find the report here.
	Data Structures & Algorithms In the recent world where computer is at high demand,data storage methods and algorithms that is the basis many software plays a key role. Pritam Studies some of these data structures and algorithms and tries to use it for different programming purposes.
	Understanding and implementing Machine learning Nowadays, in the world of internet shopping and gaming one name has always been sought about,"Machine Learning". The basics of representing the possible choices and statistics with a net of neural networks is in itself intellectually stimulating and interesting.So let's just delve a bit deeper into the waters of neural networks.
	Abstract Algebra Title: Abstract Algebra In modern mathematics, algebra has become so important that numbers will soon only have symbolic meaning. So I have tried to explore algebra in a geometric perspective rather than an arithmetic perspective, this approach simplifies many complex algebraic problems which form a basis of modern-day coding theory and Cryptography.
	DSA Title may sound like DEA of US and it is actually the very core of the security systems of the internet around the globe. It is the basic granules which forms the entire structure of the Computer Science and Information Technology.
	CV & Web Development The aim of this Summer of Science project is to extensively learn the theory behind computer vision which includes the basic image processing functions in OpenCV-Python. Meghana begins with the basic math involved for a clear understanding in CV and also develops a website based on HTML and CSS.
	Special Relativity Gattu Mytraya : A treatment of Special Relativity in terms of tensors and it's applications to the various fundamental topics of Physics. It is also a doorway through which one can see the beauty that encompasses all of nature.
	Financial Mathematics and Stock Analysis Know Warren Buffet? What does he really do that makes him fortune? Ever wondered what did Leonardo DiCaprio do in The Wolf of Wall Street? Stock markets along with the knowledge of mathematical finance can provide you with some eerie blend of knowledge that will surely rev your money earning momentum. This report provides the beginners a starter for these things.
	Yolo v3 Yolo v3 was a revolution in the world of computer vision. It let the scientists to do real time object detection and localisation. With the help of yolo neural network the algorithm can localise over 50 classes and we can train it for more classes.
	Implementation of supervised and unsupervised domain adaptation by transfer learning As the collection of labelled data is costly as well as very time consuming , transfer learning methods has greatly helped in providing a solution to the problem by transferring the knowledge gained in one domain to another by domain adaptation. koushik konwar explores the supervised and unsupervised domain adaptation by implementing it in standard data-sets and has visualised the results in t-SNE. You can find a report of his work here
	STATISTICAL THERMODYNAMICS Statistical Thermodynamics is arguably a very unintuitive theory. Arfath Ahmed takes on the task of unambiguously relating the thermodynamic quantities by means of using universally valid equations and statistics
	Brains to machines-Deep learning and Neural Networks What if machines starts to learn on it's own -from surrounding actions and it's own mistakes just like humans do using there brains?Machines have slowly started to know the way human brain works using neurons with a few line sof code. Vedant Bang explore just a drop of the vast oceanic possibilities of machine learning and neural networks and in a broader sense of artificial intelligence.
	Cosmology- Mystery of the Universe How did the Universe become as it is today? Why is it as it is today? What will happen to it in future? Some questions like these are asked by everyone who ever looked into the sky. In this project Diti Sanghai tries to find some answers.
	Machine Learning This report by Samarth Doshi provides a brief description to machine learning, data mining, and statistical pattern recognition. It also provides an introduction to neural networks which is a widely used machine learning algorithm at present.
	Orbital Mechanics Orbital mechanics or is the application of ballistics and celestial mechanics to the practical problems concerning the motion of rockets and other spacecraft. In today's new space race, the one with better understanding of orbital mechanics has upper hand rather than just higher budgets. Milind Kharwade explains how probes are sent to different celestial objects of the solar system along with the mathematics and physics behind it.
	Probability And Statistics Title: Probability and Statstics Description:Probability Theory is a mathematical framework that allows us to describe and analyse random phenomena in the world around us. Studying probability and statistics will allow us to see the world from an entirely different perspective, since the subjects gives us the tools to model and analyze situations, which involve uncertainty. Apoorva Agarwal studies Probability and Statistics in an attempt to gain such perspective. You can find a report of her work here.
	Semiconductor Physics Title: Semiconductor Physics A semiconductor material has an electrical conductivity value falling between that of a conductor, such as metallic copper, and an insulator ,such as glass. Bhawna Kumari has tried knowing about basics of these materials and their components.
	Genetics Title: Genetics A small change can change your life. Even the small alterations in the chromosomes during reproduction can bring tremendous change in you. Ravi Jangir attempts to study those alterations.
	STOCK MARKET INVESTMENT BASICS Investing has never been easier. Yukti Yashogupta takes you through the basics of investment. Go through this report if you wish to learn the meaning of simple yet basic and very important terms that hold the foundation of stock market investment.
	Cosmology and the study of early universe Cosmology was (and is)one of the most discussed topics in physics. Many suggestions are given regarding the early universe and beginning of the world one of the milestones being the bigbang theory. Yash Bhavsar is trying to study the scientists assumptions and suggestions regarding the theory and trying to understand what physicists think about the early universe.
	Machine Learning Machine Learning is the powerhouse which handles extremely complex tasks without breaking a sweat. Be it a spam classifier,autonomous driving,cyber-security. Parth Dodhia explores basics of machine learning
	Stock Market Analysis A short insight into the world of technical analysis. Umang Goel attempts to understand the basic techniques used by analysts to determine the future possibilities of the stock market
	Stellar Dynamics and Evolution How exactly does a star stay more or less calmly in a spherical shape despite high masses and violent nuclear reactions? What exactly is the interior made up of? Are all stars like our sun? Join Siddhant Tripathy as he attempts to answer these questions with rigorous mathematics when possible, or qualitatively otherwise.
	Machine learning Machine Learning is a new programming paradigm.Instead of giving explicit instructions ,the programming is done with examples and the machine learning algorithm finds patterns in the data and turns them into instructions by itself .In this report, Medhavi Kapoor studies the basic algorithms of machine learning and explores this new way of communicating our wishes to the computer.
	Machine Learning & Neural Networks The field of Machine Learning and Deep Learning have transformed the way we predict outcomes. With an immense increase in the availability of data, systems can now be trained on a variety of network architectures so as to create a ‘near perfect’ prediction system. I, Pranav Goyal, have explored the vast horizons covered by the numerous models available for implementation in Deep Learning Neural Networks.
	Quantum Computing and Information Big things happen when computers get smaller and faster to the extent of Quantum Computers. Pranav Patel explores what could be the biggest performance boost in the history of technology, along with studying the information related to a quantum system. You can find a report of his learnings here.
	Economics in one lesson Everything that involves money has a cause and effect. Hence, where you spend your money one way means you have to sacrifice in another area. Any form of economic destruction of real value, no matter how small or big, hurts the entire community in some way or another. Suhani Maheshwari studies the economic fallacies that have been so prevalent lately that they have almost become a typical orthodoxy.
	Control Systems For exploring the world of robotics and various fields of engineering , a basic understanding of control systems is a must. Atishay Jain takes a small step towards this vast course by studying classical control theory . You can find a report of his learnings here.
	Churn Model A coaching company earns by the fees of the long_term students. It is important for a company to make sure these user do not leave. Tarush Goyal has built a churn model (Using machine learning) that successfully warns the company of users that have a higher chance of churning. Report for the same is attached.
	CONVOLUTIONAL NEURAL NETWORK BASED APPROACH FOR SEMANTIC SEGMENTATION OF MULTISPECTRAL IMAGES The project implements U-net (a type of convolutional neural network) for semantic segmentation of multispectral images. It outputs the segmented image in which each pixel is associated with a class label. Name: Sanoj Prasad
	Computational Fluid Dynamics CFD is the use of mathematics, physics and computational software to visualize how a gas or liquid flows. K T Prajwal Prathiksh attempts to explore how the intricate and complex equations governing this behaviour of fluids, in order to develop faster and lighter vehicles, and make life efficient, all at the comfort of his home, while his computer crunches all the numbers.
	Financial Maths Finance is generally thought to be a mystery and it involves some new terms we are unfamiliar with. So here, Srihith Bharadwaj has made some moves to introduce financial education for the enthusiastic beginners.
	Exploring Clean Energy Solutions Here,I have explored the various sources of energy, conventional and non conventional. I have also read about various ways of energy management and energy auditing.
	cosmology, astrophysics, dark matter The project covers all the basic ideas that are related to astrophysics, dark matter, the Big Bang theory etc and a lot of new things that have been discovered lately which can be used to explain a few questions out of a long list which still puzzle much of the world today.
	Network Security Network Security methods like encrpytion, decryption and uses. Exploits and attacks like spectre and few DoS
	Special Theory of Relativity You must have heard about the equation E=mc^2. Here with Prathmesh Bele, we shall study The Special Theory of Relativity and the origin of the popular equation. Also, we shall try to understand the facts that length and time are relative and depend on relative motions of two frames and what happens when a body moves at a velocity closer to the velocity of light.
	An Introduction to Astronomy and the Cosmic Universe Modern astronomy explores the whole Universe and its different forms of matter and energy. This report by Saanika Choudhary is a brief description of the tools used in modern astronomy and the mathematics involved in it.
	Statistics and Probability Luck. Chance. Possibility. These words convey a feeling of mystery and intrigue. But they're not as elusive as they might seem. Ritvik Manglik dives into the fascinating domain of mathematics which aims to estimate and utilise such variables in theoretical and practical operations.
	Data Structures and Algorithms Every program depends on algorithms and data structures, but few programs depend on the invention of brand new ones. Before dwelling deep in the programming world, explore the basics of Data Structures and Algorithms with this report by Gagan Jain and get the required head start.
	Nonlinear dynamics Title: Nonlinear dynamics I was somewhat interested in the working of various nonlinear systems in nature. I studied their meaning,conditions,types and their applications in this project. I attempted to keep it short and simple but still I had to cut down a lot from what I wrote in my POA due to vastness and prerequisites of this topic. I enjoyed working on it and I hope to study nonlinear dynamics to fullest in near future.
	Computational Fluid Dynamics Various objects in technology are getting complex in nature day by day , so setting up various experiments to find out several properties becomes difficult and costly . CFD helps us to model them and get all the properties computationally , although we need experimental data to verify CFD solutions . Rikin shah studies the mathematical tools and methods which are required to understand CFD .
	ALL ABOUT MACHINE LEARNING What is the most fascinating topic right now in today's world? Machine learning, yes you guessed it right . Shaunak Natuu also tries to find answers to all his questions . You can find a report of his learnings here.
	Machine Learning (Andrew Ng) It is a very popular online machine learning course by andrew ng. It is not a very regorous course and i learnt from very basic.machine learning is a very important tool in the current time and it applies to almost any problem statement of the world.
	MACHINE LEARNING Machine learning is an application of Artificial intelligence that enables systems to automatically learn and improve from experience. It has revolutionised several fields like finance, autonomous vehicles. Jennish Dharma J J explores various aspects of machine learning and their implementations here.
	Machine learning Title - Machine learning Description- it is how we use simple algorithms to solve complex problems. It can be done in two ways. Computers can either follow your instructions or even learn on their own
	Applied Mathematics in Finance Didn't The Big Short or The Wolf of Wall Street seemed too cool to spark an inspiration for emulating the protagonists. Markets are diving deep into the world of algorithms and machine learning day by day. Find Harshil's exploring on the maths behind markets here.
	Blockchains and Cryptocurrency A blockchain is a set of linearly connected information containing blocks secured with cryptography. Shubhanshi Asati studies the technicalities behind the blockchain technology and its application in Bitcoins, Ethereum and other cryptographic decentralized applications.
	Stock Markets and Indian Tax System It is undeniable that a basic knowledge of finance is highly necessary in today's world. Arpit Singh takes a dip into the world of the Stock Markets and the Indian Tax system- two highly attractive topics to any person with no prior finance knowledge.
	Robot modeling and control system Robotics, a younger field of modern technology, which has decreased labor costs, increased precision, productivity, and increased flexibility and can also be used in hazardous jobs. Bhavika Kumar went through the principles and mathematics behind the modelling and controlling of robots.
	Theoretical Astrophysics What’s the nature of universe? Is the universe welcoming or hostile? Who knows what strange force lies ahead. What we’ll discover? Who knows we could almost be looking at our own solar system billions of years ago? The project is about the basic introduction about the theoretical astrophysics. It covers the study of our solar system its formation, galaxies and universe. It also describes in brief about the formation of stars, its interior and fate. Vaishnavi Ghatol study the fascinating physics behind the origin of the universe, nature of big bang and how the dazzling stars took birth.
	Cryptography Ever wondered how your PC securely connects to iitb network through vpn? What is the SHA1, sweet32 attack and block cipher mentioned in its connection status? How secure is webmail, bank transaction? Why only certain apps are safe to download? Deep Satra studies basics of Cryptography, some of the early encryption methods, and its present scenario. You can find a report of his learning here.
	Deep Learning And Neural Networks Deep learning is as fascinating as it sounds one could easily be overwhelmed by knowing the various possibilities it brings for artificial world. Rishabh Ranjan tries to briefly cover some aspects of deep learning and its senpai Machine Learning.
	Game Theory How competing companies set their prices, how governments should design auctions to squeeze the most from bidders and how to explain the sometimes self-defeating decisions that groups make? When people speak of “games,” they are usually talking about amusements, but in the branch of mathematics known as “game theory,” we speak of games in a much broader sense. Anjali Yadav explores the thrilling applications of Game Theory, in not so game- looking situations happening around, in this real world. You can find a report of her work here.
	Machine Learning and Neural Networks Machine Learning is the new hot topic which has taken over the world by storm. It has applications everywhere you see. Using Neural Networks and a large set of data it is possible to train a model to predict about any complex information we can think of, from image detection, to autonomous driving. This report by Rwitaban Goswami delves into the mathematics of how neural networks and other algorithms in machine learning work.
	Machine Learning Is Machine Learning really the major step towards the replacement of Human Intelligence by Artificial Intelligence? Do the neural network algorithms really mimic the human brain? Ritwik Khandelwal attempts to find the answers to these revolutionary questions.
	Stock market analysis and investment Stock market is really fascinating. Getting exiting high returns of about 20% in a very short time rising and growing stock prices really excites. Vijayantmonu has studied stock market analysis and you can find what he has studied in the following report.
	Use of Mathematics in Finance Investment marketing has become one of the most paid field in the recent few years, stories of overnight success are mostly related to this field. Siddharth Singh explores the use of mathematics in this field. You can find his report here.
	Data Structures and Algorithms No matter which programming language you program in, if you want to be able to build scalable systems, it is important to learn data structures and algorithms. Data Structures and Algorithms are the identity of a good Software Developer. Saurav Garg explores Data Structures and Algorithms and relations between them. You can find a report of his work here.
	Solar Photovoltaics The rising awareness among people has led to increased use of solar cells in everyday life. Be it calculators, street lamps, solar water heater or even supplying power to the utility grid, solar cells have been aiding conventional resources in energy generation. Chaitanya Kolhe studies the physics behind solar photovoltaic cells and how to design a grid-connected PV system using them
	Special Theory of Relativity Ever wondered if light will slow down when we race with it? Let's explore the most accepted and experimentally confirmed theory which explains not just this but also how mass and time will change as a body moves. In this report, Chiranshu Taneja lays out the details of Special Theory of Relativity here.
	Data Structures and Algorithms As said by Eric Raymond, "Smart data structures and dumb code works a lot better than the other way around." So it is important to know about data structures and algorithms if you want to do coding. This report by Sargun Singh Sohal gives a brief description of Data Structures and Algorithms.
	Special Relativity World is more than meets the eye. With the recent advancements in tech. we have somewhat enhanced our senses, we can now see a bigger picture of the universe. The Theory of Relativity, verified by numerous experiments, helps us humans know things that we are not meant to know(we cannot perceive). We now know that space and time are two faces of the same coin; their fates are entangled. Space and time are relative.
	An introduction to General Astronomy and Stellar Life Cycle vedant singh explored the journey of developments in astrophysics, its history SR, and blackholes(stellar life cycle)
	Graph Theory and Combinatorics In mathematics, graph theory is the study of graphs, which are mathematical structures used to model pairwise relations between objects. A graph in this context is made up of vertices (also called nodes or points) which are connected by edges (also called links or lines).
	QUANTUM MECHANICS The results of quantum mechanics remain one of the weirdest aspects of the physical world. Further, unlike other theories, it requires another theory namely that of classical physics to make sense out of it. Many aspects of the theory also still remain widely debated and on top of that various people have distinctive approaches to the theory. Here Aditya Ranjan tries to go through various approaches taken by Landau, Shankar,  Feynman and Barton from MIT OCW
	Machine Learning Machine Learning is the field of study that gives computers the capability to learn without being explicitly programmed. Shreya Laddha studies the various aspects of this interesting field. You can find a report of her work here.
	Behavioural Economics The ability to sway a person's choices by simply changing some fonts may seem far-fetched, but that's exactly what Behavioural Economists have managed. Behavioral Economics shows that changing even seemingly insignificant aspects of context can be instrumental in increasing organ donations, encouraging students to pursue further education, or even just selling more popcorn. Ashita Yedida explores the basics of this fascinating subject, where human behaviour is studied and expressed in concise mathematical expressions.
	Blockchain, Cryptocurrencies and Bitcoin Today we live in a world where the privacy is a hot topic and a global concern. Among those concerns is also a concern of privacy of money. All the money that we own or transact is not hidden from the banks or any third party service that we may be using. Cryptocurrencies are a solution to this problem. These are digital currencies secured by strong cryptography and they are decentralized. They achieve this feature with the blockchain technology. This technology was originally conceived for Bitcoin, a leading cryptocurrency.
	QUANTUM COMPUTATION AND INFORMATION Science offers the boldest metaphysics of the age.The theory of computation has been studied almost in abstract,as a topic in mathematics.Quantum computation is to miss the point of it.Anaida Ali attempts to explore quantum computation,a yet unsolved mystery and tries to connect stangeness of Hilbert space together.
	Machine Learning and Neural Networks Machine Learning is finding applications in a variety of fields in today's world, ranging from driver-less cars and computer vision, to brain-machine interfaces and genetic engineering. Deep learning is at the heart of the innovation driven by machine learning, due to its ability to deal with Big data better than any other class of algorithms. Amitrajit Bhattacharjee explores the fields of neural networks and deep learning
	Relativistic Quantum mechanics and basic QFT There was Special Relativity and then there was Quantum mechanics ! The best brains in the world worked night and day from the late 1920s onwards to combine the two and it culminated in some of the most accurate and well established physics theories the world has ever seen. Vijay V explores the basics of Relativistic Quantum mechanics and its famous follow up-QFT. You can find a report of his learnings here.
	Deep Learning and Neural Networks Title: Deep Learning and Neural Networks Description: The burning field of mysteries of today's world where data is the goldmine if processed with potential efficiency, Machine Learning, especially Neural Networks was the main topic of this project. Saumya Thakur during this project learnt right from scratch about the algorithms of ML, their environments and stretched it to Neural Networks. Further, she also applied her knowledge to some real world problems on Google Colab using PyTorch as the package and had fun time doing so. A brief report of her work alongwith links to her Python notebooks has been provided here.
	general Astonomy Astronomy is the scientific study of celestial bodies in the visible universe, from the scale of a few meters to the macro scale.How is general Astronomy related to everyone and also important at the same time? This is the question Mohit Dhaka wants to know and answer.
	Computer Vision Computer Vision is a field of computer science that works on enabling computers to see, identify and process images in the same way that humans do. Anjana Singh takes on this journey to discover how people have developed various approaches and algorithms to solve this problem and the scope for future. You can find a report of her learnings here.
	Hydrogen Energy The depletion of non-renewable energy resources creates a need to work upon the renewable energy resourcesHydrogen is recognised as alternative energy carrier. So here is an report by Harshada Suryawanshi on hydrogen energy which briefs you about hydrogen storage.
	Game Theory Game theory is the science of strategy, i.e of optimal decision making. Game theory had its origins in mathematics and economics but now has evolved to have applications in many social sciences and computer science. Via this SoS reading project Akkapaka Saikiran explores the formal notions of strategy and views several examples, the highlight being an exposition on the Game of Trust developed by Nicky Case. You can find a report of his work here.
	Machine Learning The project is about machine learning and its application. Name-Vipul Agarwal
	Wormhole Geometry In our vast and seemingly unending universe, where even light takes billions of years to travel from one place to another, covering such distances would always be a dream for humanity. But what if there are shortcuts in space? What if there are tunnels in space-time that connect us not only to distant parts of our universe, but also to some mysterious parallel universes? What if the so far fictional goal of time travel can actually be achieved? Join Asawari Keskar as she dives into the concept of Wormholes, which has the potential of answering all the above questions. The report of her analysis of Wormhole Geometry and the possibility of their existence can be found here.
	Data Structures and Algorithms Title: Data Structures and Algorithms Description: Computer programming has become a very essential tool for engineers of all departments to solve the various problems that come along. Hitul Desai attempts to learn the basic aspects of a science that governs how data is managed and utilised. You can find a report of his learnings here.
	Stock Market Analysis The stock market analysis is a really a fascinating subject. Its something which can be studied very in-depth and there are many different angles by which you can view this. Here, Smit Solanki presents his take on this whole thing.
	Neural Networks & Deep Learning Title- Neural Nets & Deep Learning : Neural Networks exactly work somehow related to how human Brain works, Deep learning and computer vision are trying to excel in the field the image/video/speech related recognition and other task. There are many architectural proposal for the same which trying to improve the accuracy on the real analysis. There are many algorithmic approaches as well for the same which try to make the deep learning domain really interesting and wide enough. The day by day this field is getting vast so that we can comfortably say that this time is the peek of the enhancement of this amazing field. Bhavesh Patil is trying to get insight into the various approaches like detection, segmentation, localization, generative model in the field of Deep learning, you can find the report related to his work here.
	Machine Learning Machine learning is becoming widespread and organizations are using it in a variety of ways, including financial services, virtual private assistant, marketing and sales. Shubham Gupta studies the basic algorithms and applications of Machine learning.
	Machine Learning Machine learning has been a field of active research in the recent years due to it's prominent success in solving problems that cannot solved with a well defined algorithm. Mohammad Taufeeque studies how machine learning gives us new ways that can solve those problems with a very high accuracy.
	Machine Learning and Neural Networks "If you can't program it, make it learn for itself". Thanks to machine learning, there's never been a more exciting time in the history of computer science. Every day, new breakthroughs are changing what's possible with computers. Latika Patel attempts to understand the theory behind the black box called "Machine Learning". You can find report of her learnings here
	Game Theory In Economics Is it possible to read other peoples mind in a situation and react to it accordingly to get maximum profits.There had been many problems in real life where producers don't react accordingly and suffer losses.Saurav Sah explores Game Theory in the field of Economics to study the behaviour of others in the situations to know our beststrategy.
	Deep Learning And Neural Network Deep learning is an artificial intelligence approach that imitates the workings of the human brain in processing data and creating patterns for use in decision making. Deep learning has garnered extreme interests from various industries to solve broader problems, which were considered very difficult to solve with standard algorithmic approaches. Aakash explores various architectures of machine learning, including the state of the art deep learning and Reservoir computing models to understand and uncover their working and functionality.
	Machine Learning and Deep Neural Networks I am Shubham Seth, and on my project I worked on the basics of machine learning as well as some advanced topics like CNNs, RNNs, LSTMs, and Genetic Algorithms. I mastered both MATLAB and python during the course of the project, and also learnt the use of some deep learning libraries. During the course, I observed that some of the Deep Learning Algorithms like CNNs and RNNs had a lot better performance than traditional ML algorithms.
	Fuel cell Report shows about the basics of fuel cells (Energy conversion device). Deep learning about thermodynamics and electrochemistry of fuel cell. Complex calculation of calculating fuel consumed, voltage current behaviour and backlogs of device. Done by Hriday Mittal whose work report is here.
	Digital Image Procrssing OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products I learnt Digital Image Processing through opencv to apply it to my ITSP project.
	Data Structures and Algorithm In this document, I(Mohd Zakir Hussain) have tried to cover the basics of data structure and algorithm. The different data structures and algorithms are explained using definitions and examples from different websites. You can check the bibliography to check resources.
	Financial mathematics Title: Financial Mathematics Description: "Finance and mathematics are two totally diverse branches with nothing in common ."is the popular myth among the students. Aniket tale explores this relation to some extent though not completely, to give a brief idea about the interesting correlation between two popular subjects. You can find the report of his learning here.
	Game Theory Game theory is the science of strategy. It attempts to determine mathematically and logically the actions that “players” should take to secure the best outcomes for themselves in a wide array of “games.” The games it studies range from chess to child rearing and from tennis to takeovers. Amal Mathew tries a hand at understanding the mathematical aspects of this vast field on a journey ranging from tic tac toe to revolutions
	Game Theory Game theory studies mathematical models of strategic interaction between rational decision-makers trying to anticipate the actions and reactions of players. It applies to a wide range of behavioral relations, and is now an umbrella term for the science of logical decision making in humans, animals, and computers. Meeta Malviya has tried to understand and explain how people and organisations act in startegic situations using general principles of Game Theory. Here is her report.
	Machine Learning Machine Learning is the field of study that gives computers the ability to learn without being explicitly programmed.
	Astrophysics Is our galaxy the only galaxy in the universe?is universe constantly expanding?if so how?pragathi finds to know more about our universe and space
	Data Structures and Algorithms With the advancement in technology , it has become a necessity for everyone to have a basic idea in coding these days. And learning about data structures and algorithms makes you a stonking good programmer. Tavishi Jatrele studies the basics of problem solving through DSA and it's applications. You can find a report of her learnings here.
	Starting to learn about topological quantum computing Arush Gupta - A very very brief introduction to topological quantum computing. If you are a second year student, then you can easily comprehend it. If you are a first year student, come to the MnP events, and the rest will be history :)
	Abstract Algebra Abstract Algebra deals with sets with some special properties and many abstract mathematical structures such as groups , rings and fields with many beautiful consequences such as insolvability of quintic polynomials and many more . Praneet here tries to understand some of them.
	Data Structures and Algorithms and ML using Python Data structures allow information storage on hard disks, provide means for management of large dataset such as databases or internet indexing services and are necessary for design of efficient algorithms. And ML(Machine Learning) focuses on the development of computer programs that can access data and use it learn for themselves. Here, I, Manan Goyal explore the various data structues and learn the basics of machine learning.
	Machine learning Machine Learning is a new programming paradigm.Instead of giving explicit instructions ,the programming is done with examples and the machine learning algorithm finds patterns in the data and turns them into instructions by itself.In this report, Medhavi Kapoor studies the basic algorithms of machine learning and explores this new way of communicating our wishes to the computer.
	Understanding and implementing Machine learning In the present day scenario machine learning concepts and applications can be found everywhere. Ayush Garg aims to explore these ideas and tries to implementations to gain a deeper understanding of their day-to-day applications. You can find a report of the learnings here.
	Statistical Mechanics and the Development ofthe Old Quantum Theory This explores the modern development of classical mechanics, Some of Boltzmann's work and a brief description of how the initial quantum theories relate to it.
	Deep Reinforcement Learning Reinforcement learning, in the context of artificial intelligence, is a type of dynamic programming that trains algorithms using a system of reward and punishment. This is not supervised learning, this is not unsupervised learning, it is an entirely different field with it's roots in the basic essence of how our brains function, how humans learn things, that is by interacting with their Environment. Mridul tries to explore this state of the art & promising field of AI.
	reinforcement learning Reinforcement Learning is an increasingly popular technique for organizations that deal regularly with large complex problem spaces. Because Reinforcement Learning models learn by a continuous process of receiving rewards and punishments on every action taken, it is able to train systems to respond to unforeseen environments. Aditi Kadam explores MDP and value iteration algorithm that is based on reinforcement learning
	Reinforcement Learning Reinforcement Learning is an increasingly popular technique for organizations that deal regularly with large complex problem spaces. Because Reinforcement Learning models learn by a continuous process of receiving rewards and punishments on every action taken, it is able to train systems to respond to unforeseen environments. Aditi Kadam explores MDP and value iteration algorithm that is based on reinforcement learning
	Data Structures and Algorithms No matter which programming language you want to program in, if you want to write an efficient code, Data Structures and Algorithms (DSA) is your way to that. Ritika studies DSA, an effective tool to solve computational problems efficiently. You can find a report of her learnings here.
	Data Structures and Algorithms Data Structures are the programmatic way of storing data so that data can be used efficiently.Algorithm is a step-by-step procedure, which defines a set of instructions to be executed in a certain order to get the desired output. </table>