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Active Repositories
// open source
StreetIQ
Active
An AI-powered road intelligence & navigation platform that turns every driver into
a road surveyor. Real-time hazard detection using a custom-trained YOLOv8 model running entirely
in-browser via TensorFlow.js.
ReactTensorFlow.jsYOLOv8Node.jsSupabaseWebSockets
// open source project
StreetIQ
The AI-Powered Road Intelligence & Navigation Platform
StreetIQ is a next-generation navigation platform that tells you what is
actually on the road. It provides real-time turn-by-turn navigation overlaid with live
crowdsourced hazard data potholes, waterlogging, cracks, and debris detected entirely on-device using a
custom-trained YOLOv8 model running in the browser at 15fps via TensorFlow.js. Video feeds are never sent
to a server. Only GPS coordinates and hazard metadata are transmitted, preserving absolute privacy.
Custom-Trained YOLOv8 Model
Hand-trained on thousands of real Indian road images to detect cracks, potholes, waterlogging, and
debris across varied lighting and traffic conditions.
On-Device AI — Zero Video Uploads
All inference runs locally in your browser. Nothing leaves your device except GPS coordinates when
a hazard is confirmed.
Real-Time Hazard Broadcasting
The moment a hazard is detected, WebSockets instantly broadcast it to every other driver in the
area via the Supabase Realtime backend.
Full Navigation Stack
Smooth turn-by-turn navigation powered by OSRM with custom traffic multipliers and Photon geocoding
— no third-party map API required.
Active
