My Projects

MobileDoc is a cross-platform healthcare mobile application built with Flutter that helps users manage their medical information. The app features appointment scheduling with calendar visualization, secure storage of doctor and medication details, and camera integration for uploading prescriptions and insurance cards. Firebase provides authentication and real-time data synchronization.

This is an interactive 2D and 3D geospatial simulator that models how D.C. residents travel to grocery stores. The application visualizes food deserts and underserved areas on a dynamic map, integrating demographic data with hover-based regional insights. Users can place new stores using an interactive toolbar, which dynamically updates the simulation and food desert analysis.

This weather application allows users to get current weather information by entering zip codes. The app features a personalized watchlist where users can save and monitor multiple locations for quick weather updates. Built with a full-stack architecture using Node.js, Express, and MongoDB for data persistence.

The AI Maze Solver demonstrates various artificial intelligence search algorithms solving randomly generated mazes. The application uses both uninformed and informed search strategies, including A* with Euclidean, Manhattan, and Diagonal heuristics. Users can select different algorithms through an interactive interface to watch how each approach navigates the maze.

This machine learning project analyzes data on 540+ movies to predict film success. I cleaned and preprocessed the dataset using Pandas and NumPy, performed sentiment analysis of movie reviews using TextBlob, conducted statistical hypothesis testing with SciPy, and created visualizations using Seaborn. I trained a Random Forest model using Scikit-learn, achieving 81.5% accuracy in predictions. I developed a complete web application with HTML, Bootstrap/CSS, JavaScript frontend, and Flask backend that allows users to input new movie information and receive real-time predictions on whether the film will succeed or not.