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Coding, as usual!
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ashayp22/README.md

Who am I?

Greetings🖖! I am a student in the B.S. in Computer Science program at the University of Illinois at Urbana-Champaign. My main passion is creating robust, appealing, and reliable software that puts smiles on people's faces.

I work with web and iOS app development but I have also created artificial intelligence, 2D/3D games, bots, and mathematical/physics simulations. Outside of the technical domain, I have marketing and UI/UX design experience. Currently, I'm building a mobile app that helps Indigenous communities around the world teach, learn and sustain their languages!

In addition to coding, I like to share my knowledge with others and inspire others to learn. I have done this by:

Featured Projects

Some of the projects that I am most proud of!

Machine Learning, Deep Learning, Computer Vision 🧠

  • Recogg - Records classroom/club attendance in seconds using Facial Recognition (AWS), Raspberry Pi, Camera Module, and Web Interface. Created for 7 week summer CS internship in 2020.

  • Word Search Solver - A website that uses a CNN (Convolutional Neural Network) and OpenCV to help students solve word search puzzles. Won 2nd place at the district level for the Congressional App Challenge 2019!

  • Calculus Cracker - A website that uses Segmentation, Parsing, and a CNN (Keras + OpenCV) trained on a dataset of numbers, letters, and Greek letters to help math students solve handwritten calculus problems. Created as a first semester final project during my HS junior year.

  • Image Captioning - A full deep learning pipeline that generates captions for images using a CNN encoder and RNN decoder (PyTorch).

  • Smart Draw - An iOS game where you try to create drawings that an AI can guess at. If you draw well enough, you earn points! Made using the Google QuickDraw Dataset and a Fully Connected Neural Network created using Numpy and SciPy.

Genetic Algorithms, Neuroevolution 🧬

  • AshayNEAT - My version of the NEAT (neuroevolution of augmenting topologies) algorithm in multiple programming languages. Used to create AI that can beat video games. It has been featured in videos, a hackathon winning project, and AP CS A final project.

  • NeuronRun - Uses the Java version of AshayNEAT to create AI that play Coolmath's Run Game.

  • Hoop Swish - An iOS game where you try to make more basketball shots than your AI opponent. The AI obtains the best shot using a Genetic Algorithm.

  • The Knapsack Game - An iOS game based on the Knapsack problem (combinatorial optimization).

Websites 🌐

  • CSK Parent Portal - A website that allows parents to register kids for after-school CS tutoring sessions. This is currently in production. Created using React, Node.js, MongoDB, and SQL.

  • COVID-HEAL - Website for COVID-19 News/Statistics, Face Touching AI, and more. It won "Efficient Remote Working under Remote Working & Education" in the international EUvsVirus Hackathon 2020.

  • 3D Epicycles - Uses the Discrete Fourier Transform in JavaScript to draw any 3D shape in a matter of seconds. You can draw 3D objects ranging from simple cubes and cones to complex goldfish, ice cream cones, and dragons.

  • Buy or $hort - Financial Literacy Game created for HackMIT 2020, a 36 hour collegiate hackathon hosted by MIT.

  • Connect 4 Minimax - Play Connect 4 against an AI opponent that determines its moves using the Minimax algorithm. You can adjust a slider to obtain different search levels.

  • Physics Simulations and Games - These are some physics simulations that I started to create while taking AP Physics 1 and 2 for my classmates. There is a Vector conversion website, Parallel Plates (Electrostatics) simulation, and Right Hand Rule (Magnetism) game.

Miscellaneous 💡

My Links

Pinned

  1. Helping Indigenous communities around the world teach, learn and sustain their languages

    JavaScript 7

  2. Rust-Math Public

    Fractals with Rust | CS 128 Honors Fall 2021 Final Project

    Rust

  3. The Official iOS App of HackIllinois

    Swift 13 7

  4. Ray Tracer in C++ | CS 128 Fall 2021 Final Project

    C++

  5. AshayNEAT Public

    My version of the NEAT (neuroevolution of augmenting topologies) algorithm in multiple programming languages || used to create AI that can beat video games

    Java 1

  6. Uses the Discrete Fourier Transform and Epicycles to draw any 3D shape in a matter of seconds || live web demo!

    JavaScript 2 1

670 contributions in the last year

Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Mon Wed Fri

Contribution activity

October 2022

Opened 2 issues in 1 repository
hack4impact-uiuc/7000-languages 2 open
2 contributions in private repositories Oct 1

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