π« MKB-supabase β Rider Attendance Monitoring & Geofence System
A full-stack rider attendance monitoring and geofencing platform built with Next.js/React, Vite, Supabase, and TensorFlow for AI facial recognition and real-time location validation.
| Module | What it does | Stack |
|---|---|---|
| π AI Attendance Verification | Facial & biometric recognition powered by TensorFlow models | TensorFlow React |
| π Geofence Validation | Real-time GPS location tracking & hub boundary verification | Next.js Geolocation API |
| ποΈ Database & Auth Engine | Row Level Security (RLS), real-time tables & automated logs | Supabase PostgreSQL |
| π Admin Dashboard & Landing | Live monitoring, attendance logs, and management portal | Next.js Vite Tailwind |
| Repository | Description | Primary Stack | Stars | |
|---|---|---|---|---|
| π« | MKB-supabase | Rider Attendance Monitoring & Geofence System with AI facial recognition | TypeScript React Supabase TensorFlow |
β 1 |
| π¦ | ASSETLINK-supabase | Enterprise asset management & tracking system built with Supabase backend | JavaScript Supabase Node.js |
β 1 |
| π¨ | PortfolioInspired | Interactive developer portfolio design & showcase interface | TypeScript React GSAP |
β 1 |
| πΌ | Naph2ndPortfolio | Modern full-stack portfolio application with smooth micro-animations | TypeScript Next.js Tailwind |
β 1 |
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Architect the solution first. Model database schemas, map API routes, and wireframe user flows before writing code. |
Develop in iterative increments. Focus on clean code, modular components, and reliable data contracts. |
Refine the experience with smooth GSAP animations, fluid transitions, crisp typography, and responsive layouts. |
Deploy early, collect real user feedback, monitor metrics, and continuously refine performance. |




