Hackathon-winning web application transforming image collections into narrated digital diaries. Implemented client-side canvas image compression achieving 80% smaller payload sizes, and optimized prompt engineering reducing token usage by 25%.

Shipped cross-platform nutrition tracker supporting natural language / image meal logging. Implemented LLM-powered parsing pipeline with automatic fallback reducing meal logging time by 85%. Designed animated calorie rings and architected a fully local data layer with secure API storage.

Built the Bharat Governance Simulator to provide real-time impact analysis for the One Nation One Election (ONOE) initiative. It leverages HLC and Law Commission parameters to generate simulation dashboards, analyze mid-term risks, and run Monte Carlo simulations for governance impact.

A calendar website that converts Excel sheets into a clean React-based timetable. I fixed bugs and implemented a feature to import events to users' calendars. This feature was appreciated by seniors and proved genuinely useful, which gave me the confidence and motivation to keep contributing to real-world projects.

End-to-end deep learning project classifying red blood cell microscopy images as Parasitized or Uninfected. Uses a fine-tuned MobileNetV2 CNN achieving ~95% accuracy. Features a production-ready FastAPI backend with Grad-CAM visual explanations.

Developed a full-stack web application simulating real-time stock trading using Python Flask framework. The application enables users to register accounts, look up current stock prices via API integration, buy and sell stocks with virtual currency, and maintain transaction history.