Projects I have a lot of cool projects! Here are some of the personal, in-class, and research projects I made :) All ML SWE Vision Math Split-it A webapp that splits the bill for a group of friends. It parses the receipt image into food items and prices using OCR and ChatGPT, and achieves SOTA parsing performance. BOVW Bag of Visual Words classifier for image classification. Implemented using cv2 and sklearn, with applications in Reinforcement Learning. Deblur Debarring Text Images via L0 Regularized Intensity and Gradient Prior: a Python implementation Decoding Bayesian decoding of subsitution cipher with Markov Chain Monte Carlo Fork Tinder, but for food: a webapp that helps a group of friends decide on a restaurant to dine at through ML-based recommendation and automatic selection Maps a webapp that allows users to find shortest routes between 2 points on the Providence map using a GUI Deep Manager a Deep Reinforcement Learning agent that manages a portfolio in the stock market and can make profits; trained in TensorFlow with advantage REINFORCE Park@Brown a mathematical model to compute the best parking spots allocations strategy at Brown University IMU + object recognition An object recognition post-processing pipeline that uses Inertial Measurement Unit to strengthen detection accuracy by 50%. Used on Vision Prosthetic in Paradiso Lab. Controbo A Unity API that enables controlling robot navigation using pointing gestures to corroborate natural language commands. Cha-Ching! an autonomous Java trading bot that trades intelligently in a simulated stock market RL Pong a Reinforcement Learning agent (using policy gradient) that learns to play the Atari game Pong through trial-and-error RL Cartpole a Reinforcement Learning agent (Deep Q Network) that learns to balance a pole on a cart through trial-and-error Connect4 an AI connect4 player using Minimax algorithm and alpha-beta pruning; implementation won first place in Brown CS18 class tournament. Search a Scala search engine that uses term frequency and pageRank algorithm to index a wikipedia corpus and return most relevant documents Markov Chain group research paper on the application of discrete-time Markov Chains in the problems of randomizing Fibonacci a group research paper on the interesting number-theoretical properties of the Fibonacci sequence Turing System an analysis of the usage of Turing System in species competition problems
Split-it A webapp that splits the bill for a group of friends. It parses the receipt image into food items and prices using OCR and ChatGPT, and achieves SOTA parsing performance.
BOVW Bag of Visual Words classifier for image classification. Implemented using cv2 and sklearn, with applications in Reinforcement Learning.
Deblur Debarring Text Images via L0 Regularized Intensity and Gradient Prior: a Python implementation
Fork Tinder, but for food: a webapp that helps a group of friends decide on a restaurant to dine at through ML-based recommendation and automatic selection
Maps a webapp that allows users to find shortest routes between 2 points on the Providence map using a GUI
Deep Manager a Deep Reinforcement Learning agent that manages a portfolio in the stock market and can make profits; trained in TensorFlow with advantage REINFORCE
Park@Brown a mathematical model to compute the best parking spots allocations strategy at Brown University
IMU + object recognition An object recognition post-processing pipeline that uses Inertial Measurement Unit to strengthen detection accuracy by 50%. Used on Vision Prosthetic in Paradiso Lab.
Controbo A Unity API that enables controlling robot navigation using pointing gestures to corroborate natural language commands.
RL Pong a Reinforcement Learning agent (using policy gradient) that learns to play the Atari game Pong through trial-and-error
RL Cartpole a Reinforcement Learning agent (Deep Q Network) that learns to balance a pole on a cart through trial-and-error
Connect4 an AI connect4 player using Minimax algorithm and alpha-beta pruning; implementation won first place in Brown CS18 class tournament.
Search a Scala search engine that uses term frequency and pageRank algorithm to index a wikipedia corpus and return most relevant documents
Markov Chain group research paper on the application of discrete-time Markov Chains in the problems of randomizing
Fibonacci a group research paper on the interesting number-theoretical properties of the Fibonacci sequence
