This project demonstrates image reconstruction using an AutoEncoder model on the MNIST dataset. The AutoEncoder compresses input images into a smaller latent space and then reconstructs the original image.

A Reinforcement Learning-based Pong game built with Python, where an AI agent learns to play and improve through Deep Q-Networks.

University Probability Predictor is a web-based machine learning model that analyzes input features like GPA, test scores, extracurriculars, and more to estimate the probability of acceptance into a specific university.