Hackathon
FloatChat
Full-stack AI system built and demoed live in 36 hours at Smart India Hackathon 2025.
PythonML InferenceREST APIsReact

Type
Hackathon
My role
Team lead (6 developers)
Ownership
team project
Result
Live demo to national judges
Overview
Built for Smart India Hackathon 2025 by a 6-member team that I directed — a team effort under a 36-hour national deadline.
Challenge
Deliver a working end-to-end AI system — ingestion, ML inference, API gateway and frontend — fast enough that six people could build in parallel without blocking each other.
Results
A functional live prototype demoed to national judges, delivered on deadline.
My Ownership
- Directed the 6-member team: scoping, task split, integration and demo
- Mapped end-to-end architecture across ingestion, ML inference, REST gateway and React frontend so all six developers could work in parallel across service boundaries
- Presented the functional live prototype to judges, walking through architecture decisions, execution tradeoffs and product flow
Technical Implementation
- Service boundaries drawn first — parallel work beat sequential perfection under a 36-hour clock
- Cut features early to protect the end-to-end flow for the live demo
Engineering Challenges
Leading means deciding what not to build. Integration time always costs more than planned.
Gallery
