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chain-rule-artificial-neural-network

chorewardtrial

cloud-migration---2-stages

dynamic-tables

function-grapher

google-clone

gram-schmidt-and-page-rank

image-processing-computer-vision

marioai-gaming-reinforcement-learning

Built and trained a model using OpenAI gym, NES emulator to play Super Mario. Optimized the model using preprocessing techniques and vectorization. The algorithm used is PPO (Proximal Policy Optimal) along with Reinforcement Learning.

neural-nets-computer-vision

optical-character-recognition-using-inception-v3-and-vgg16

Here is an implementation of InceptionV3 and VGG-16 models in Python from scratch. These models were then trained on a dataset of handwritten alphabets. An experiment was carried out to achieve higher accuracy by using different combinations of optimizers and learning rates. These models were then compared to the inbuilt models in Python.

optical-flow-tracking

othello-using-minimax

This is an implementation of the game Othello in Python. This game allows 2 players to compete using the command-line interface. The project includes three AI agents: Random, Minimax, and Alpha-Beta Pruning, each with adjustable search depth. Additionally, there is another agent which utilizes time-limited search and iterative deepening.

spam-classifier-using-naive-bayes

stevens-library

This project is a website for Samuel C. Williams Library at Stevens that showcases a diverse collection of artifacts, historical data, and floor maps of the library. Collaborated with the library director (the client for this project) to come up with a dynamic and interactive website encompassing front-end and back-end technologies.

tensorflow-image-classifier

tic-tac-toe

uber-clone

This project implements a clone of the Uber App for mobile phones using Expo Go, Redux, and Tailwind CSS. Used Google autocomplete for predicting location searches for the Maps API. Also, developed the logic to estimate the traveling time and cost of the ride using Matrix API.