Built conversational AI platform that simplifies hotel booking for travelers through automated comparison and reservation assistance, while providing 24/7 guest services for hotels with automated request logging and dashboard management, reducing concierge workload and enabling instant guest support.

Built advanced chess engines using Alpha-Beta Pruning and MCTS algorithms, leveraging neural networks with TensorFlow and PyTorch to achieve 90% move evaluation accuracy.

A sales prediction model to forecast product sales in retail outlets using various features, helping in areas like inventory management and marketing strategies.

Web application that replicates the core functionality of the Canvas learning management system.

Built a sleek, easy-to-navigate e-commerce web application with a modern user interface. Users can explore products, engage with sellers, and provide feedback through reviews, all while enjoying a seamless and interactive experience.

Developed a Machine Learning model that detects forest fires in their early stages by analyzing environmental data (such as temperature, humidity, and wind speed) to provide critical fire alerts to forestry services and local authorities.