Скачать или смотреть Zeroproxy: Decentralized Face Recognition Attendance System (Flutter + Node.js + Redis)

Project Title: Zeroproxy - A Smart Attendance System Team ID: Group 28 | B.Tech Exploration Project University: Dhirubhai Ambani University of Technology (Formerly DA-IICT)

Project Overview: Zeroproxy is a decentralized, secure attendance system designed to replace slow fingerprint scanners. By utilizing a portable Raspberry Pi server and Edge AI processing on student smartphones, we reduced attendance time for a class of 200+ students to under 1 minute.

Key Features: 🚀 Lightning Fast: 3000+ concurrent requests handled via Redis & Socket.io. 🔐 5-Layer Security: Features GPS fencing, SSL Pinning, and Anti-Spoofing measures. 🧠 Edge AI: Face recognition runs locally on the device using TensorFlow Lite. 🎮 Gamified Liveness: Interactive "Fruit Catcher" game verifies real-time presence. 📶 Local Independence: Works completely offline using a local Raspberry Pi Hotspot.

Tech Stack:

Frontend: Flutter (Mobile App)

Backend: Node.js (Express)

Database: PostgreSQL & Redis

Hardware: Raspberry Pi 4

Team Members:

Prince Patel (Lead & UI/Architecture)

Raj Patel (Backend)

Rajkumar Patel (Hardware Support)

Rashi Patel (Pi Implementation)

Sejal Patel (Hotspot Config)

Mentor: Prof. Manish Kumar


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