Open dataset of India toll plazas: NHAI national highways + state highways with coordinates, FASTag vehicle toll rates, and operator details. JSON format, monthly updates, 1100+ plazas. Raw data URL in README.

Fully offline facial recognition and liveness detection for NHAI field personnel authentication in remote, zero-network environments. Built for NHAI Hackathon 7.0.

The core processing engine for the NHAI road inspection system. It fuses sensor data with video footage at lightning speed (up to 720x faster than legacy systems), enabling real time road condition analysis.

Python Tkinter app for NHAI toll plaza automation. Select car type, enter vehicle details, calculate toll tax, and log Fast Tag data with gate control simulation and keyboard shortcuts.

Offline biometric attendance for NHAI highway worksites. Custom MobileFaceNet 99.28% LFW, liveness, anti-spoof, BioHash ISO/IEC 24745, GPS geofencing, PPE. NHAI Hackathon 7.0

Offline Facial Recognition & Liveness Detection for NHAI Datalake 3.0 — NHAI Hackathon 7.0

India's open-source TypeScript SDK for highway toll data, POIs, and emergency info.

About 100% offline facial recognition & liveness detection for NHAI field workers — React Native + TFLite + MediaPipe

🇮🇳 Interactive dashboard tracking India's National Highway & PMGSY rural road progress across 29 states with a Gemini AI-powered natural language query engine. Ask questions in plain English, get real data answers instantly.

FieldAuth — offline face recognition & liveness detection for remote field operations (NHAI Hackathon 7.0). React Native · Expo SDK 54 · MIT.

This project is a lightweight, fully offline facial recognition and liveness detection solution designed for integration with the Datalake 3.0 ecosystem. The system enables secure authentication of field personnel operating in remote and zero-network environments using only standard mid-range mobile devices.