Projects
A collection of my work, including personal projects, hackathon winners, and open-source contributions.
Advanced machine learning toolkit that classifies market conditions (Bear, Bull, Static), predicts future states using neural networks and ensemble methods, and backtests multiple investment strategies. Features anomaly detection, risk analysis, and comprehensive performance evaluation with Sharpe ratios and drawdown analysis.
Real-time detection system combining American Sign Language recognition, hand gesture classification, and facial emotion detection. Features PyQt-based overlay interface, MediaPipe hand tracking, and multiple pre-trained models for comprehensive gesture recognition with background removal and landmark visualization.
Uses machine learning to predict weather patterns with interactive data visualizations. Incorporates historical weather data and provides accurate 7-day forecasts.
Full-stack application with user authentication, real-time messaging, and event management. Helps students find study groups, events, and networking opportunities.
Educational tool helping students understand complex algorithms through step-by-step visualization. Supports sorting algorithms, graph traversals, and tree operations.
Winner of Cal Hacks 2023. Uses natural language processing to help students create study materials, generate quizzes, and provide personalized learning recommendations.
GitHub Activity
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