Won 1st Place in the Nano Banana track at Google DeepMind x UCLA. Text-to-animated-3D-scene editor where you type a sentence and get a full 3D scene with an animated character. Uses Gemini 2.5 to decompose prompts into scene layouts and motion prompts, NVIDIA Kimodo for skeleton animation, and Nanobanana + Trellis for AI 3D model creation. Features a motion timeline with blend transitions, live scene editor, and one-click cinematic video rendering. Built with Three.js and FastAPI on an RTX 5000 Ada.

Won 1st Place at IBM SkillsBuild x OSU AI Hackathon. Built an AI agent that designs, debugs, and explains breadboard circuits, giving students a personalized electronics tutor. Implemented ReAct reasoning with LLM tool calling to iteratively build and self-correct circuits. Developed a 3D circuit simulator with Three.js and modeled the environment as JSON to provide context for the agent. Integrated IBM Cloudant for storage and IBM App ID for authentication, enabling users to save and share circuits.

Won 1st Place Overall at BDAA X Lovable Hackathon. Built an AI-powered lost and found platform where finders upload photos and AI automatically generates unique security questions that only the true owner would know. Implemented semantic similarity verification using Google Gemini to prevent fraudulent claims. Uses Mapbox GL for interactive location tagging and Fuse.js for fuzzy search.

Built a Chrome extension using JavaScript and Selenium that reduced product data collection time by 12,500%, cutting task duration from hours to seconds. Used the XLSX library for seamless Excel export and reached 200+ users while ranking among the top 5 Amazon product scrapers on the Chrome Web Store.

Analyzed over 2.15 million traffic accidents and 3,300+ bus stops across NYC using GeoPandas for spatial analysis and proximity mapping. Identified the 10 most dangerous bus shelter locations through comprehensive data modeling. Selected from 400+ applicants to present findings to the Department of Transportation and Federal Highway Administration.

Built a real-time camera OCR system that integrates Google Cloud Vision API and Perplexity AI to extract and analyze text from live camera feeds. Features a modern split-screen UI delivering instant text recognition and AI-powered analysis results. Streamlined the workflow from text capture to intelligent search, reducing manual text entry time by 95% while providing contextual insights through advanced AI processing.

Developed a web application that detects and visualizes invisible Unicode characters in text to identify AI-generated content and prevent security exploits. Features advanced zero-width character detection across 65,000+ Unicode symbols, helping users identify hidden malicious content and text obfuscation attempts. Provides instant text analysis and cleanup tools, improving content authenticity verification by 100% while protecting against phishing and filter bypass attacks.