Reparo
Won 1st place ($5,000) by building an Agentic AI system using Gemini vision models for product classification with 90%+ accuracy. Reduced search time by 70% and enabled access to 1,000+ real-time listings by integrating Shopify Storefront API and SerpAPI.
DEPLOY ▶DeliriumWatch
Built a real-time Python monitoring pipeline with SQL-backed secure login and role-based access control for hospital staff, resulting in over 90% reduction in manual monitoring. Implemented OpenCV-based eye detection and live Flask web visualizations to flag abnormal conditions.
DEPLOY ▶AI Admissions Similarity Tool
AI-driven tool to scrape admissions data and compute similarity scores (GPA, tests, interests). Applicant benchmarking with reach, target, and safety school classification.
DEPLOY ▶TailorAI (Silhouette)
Built a full-stack AI platform using computer vision and the MERN stack, processing 200+ images to automatically extract 10+ body measurements per user. Implemented Python CV pipeline with landmark normalization, improving measurement consistency by 40%. Designed scalable backend APIs, MongoDB schema, and responsive React frontend.
DEPLOY ▶Spotify Pi Thing
A standalone Raspberry Pi Spotify controller with a touchscreen UI acting like an in-car console. Uses FastAPI matching OAuth caching for independent boot-time kiosk playback.
DEPLOY ▶