🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).

This project uses a pre-trained ResNet50 model from the FastAI library to detect pneumonia in chest X-rays. The dataset which is available on kaggle is used for training the model which classifies the chest xray as NORMAL, VIRAL or BACTERIAL and this project is deployed on Flask

A game of connect four with an AI to play against.

Explore foundational AI concepts through the Pac-Man projects, designed for UC Berkeley's CS 188 course. Implement search algorithms, multi-agent strategies, and reinforcement learning techniques in Python, emphasizing real-world applications. Engage in the Eutopia Pac-Man contest for a multiplayer capture-the-flag challenge

AI Tool for quick Data Analysis, Visualisation and model development but much more smarter and secure than Code Interpreter.

UPT-Artist is a Python application that utilizes OpenAI's GPT-3.5 language model to generate logos and images based on user input. It allows users to select the type of logo they want and provide a prompt for image generation. The application processes the data locally, ensuring data security, and generates a logo image using the OpenAI API.

Implementation of the Double Deep Q-Learning algorithm with a prioritized experience replay memory to train an agent to play the minichess variante Gardner Chess

Application made using Flask that runs on a ML Model trained using random forest classification model that helps in prediction of heart disease