All Projects
Squash Analytics Platform
Computer Vision & AIAdvanced computer vision system that analyzes squash match footage to provide detailed player tracking, ball trajectory analysis, and automated coaching insights. Processes 587+ frames with 99.8% accuracy for comprehensive performance evaluation.
Key Features:
- Real-time player movement tracking with ReID system
- Physics-based ball trajectory modeling and prediction
- Shot classification (Crosscourt Lob, Straight Drive, etc.)
- Court coverage analysis and movement heatmaps
- Automated coaching report generation with specific recommendations
- Video annotation with performance overlays
AI Fragrance Recommender
Machine Learning & NLPIntelligent fragrance recommendation system that analyzes scent profiles, personal preferences, and seasonal factors to suggest fragrances. Uses natural language processing to understand fragrance descriptions and embeddings to match users with their ideal scents based on mood, occasion, and style preferences.
Key Features:
- Natural Language Processing for fragrance description analysis
- Semantic embeddings for scent profile matching
- Seasonal and occasion-based recommendation algorithms
- User preference learning and personalization
- Mood-based fragrance suggestions
- Data-driven scent compatibility analysis
Princeton Day School Senior Project Website
Web Development & EducationA comprehensive website showcasing Princeton Day School's senior projects. Features an interactive gallery of student work, searchable project database, and multimedia presentation platform designed to highlight the research and creative work of graduating seniors.
Technical Implementation:
- Interactive project gallery with filtering and search capabilities
- Responsive design optimized for various devices and screen sizes
- Dynamic content loading and smooth user interactions
- Accessibility-first design following WCAG guidelines
- SEO optimization for better discoverability
- Content management system for easy project updates