PranjalAgarwal.

A VR training simulator for Floaid's Floex 3.0 Heart-Lung Machine — built solo in Unity for Meta Quest 3. It lets a perfusionist get familiar with the machine without the real hardware, and doubles as a showcase Floaid uses with investors and at conferences. Reproduces the machine's four pump-head touchscreens, the main pole screen, and physical RPM knobs as interactive 3D objects, with RPM-coupled rotor spin and spatial audio. Floaid is an IIT Madras Research Park-incubated startup developing an artificial heart.

• Reproduced the HLM's four pump-head touchscreens and the main pole screen, plus physical RPM knobs, as interactive 3D objects in Unity (Meta Quest 3, OpenXR).
• Dual VR input — laser-pointer ray + direct-touch poke — working simultaneously across all five world-space canvases.
• RPM-coupled rotor spin and pitch-shifting spatial audio, driven one-way off a display-decoupled state model.
• Began an engine-independent, unit-tested patient-physiology framework (12 variables, fixed-step 20 Hz driver).
• Maintain a daily devlog documenting development decisions and progress.

A multi-store price tracker: save product URLs and background scrapers periodically re-fetch prices into a shared database, so you get in-app + email alerts when a price drops below your threshold — with per-product price history. It currently covers Indian fashion & streetwear stores, with plans to expand to Amazon, Flipkart, and other major sites. v1.

• Track products across multiple e-commerce sites; background scrapers re-fetch prices on a schedule into a shared Supabase (Postgres) database.
• In-app + email price-drop alerts (Resend) with per-user thresholds, plus a hand-rolled SVG price-history chart.
• Multi-process architecture: an Express API, a Node 5-site scraper loop, and two Python (FastAPI) scraper microservices.
• Built with a friend — I owned the per-site scrapers (all sites except Myntra & Ajio), the alerts + email pipeline, and the React frontend.

A full-stack event discovery platform for university students and societies — event creation, RSVPs, organizer dashboards, highlights, and a support module.

• Built event creation, RSVP, and organizer dashboards end-to-end.
• Designed an event highlights feature and a support module for queries.
• Scalable REST APIs with secure JWT auth and organizer access control.

A college community app that blends LinkedIn, Discord, and GitHub — connect with people, DM 1:1, join community channels, post projects for collaboration, and resolve others' help requests, all with a gamified profile that levels up with your activity.

• Real-time channels & private chat using Socket.io.
• Secure JWT-based auth across REST and websocket layers.
• Gamified XP loop encouraging helpful, high-signal community interactions.

An AI pipeline that turns a student's academic data into personalized insights, advice, and recommendations — helping university students see where they stand and what to do next. v1 in progress.

• Building an LLM pipeline (Google Gemini) that turns structured student academic data into tailored insights and recommendations.
• I own the core pipeline end-to-end — the request → context → model → response flow.
• Collaborative build with batchmates; v1 still in progress.