dl-warren/civilis-ai

AI-powered mobile civil registry system for rural Africa # CIVILIS AI ### AI-Powered Mobile Civil Registry System for Rural Africa --- ## 🎯 The Problem Over **30% of African children** have no birth certificate. In rural Cameroon, the nearest civil registry office can be 100–300 km away from remote communities. Paper archives are regularly lost to floods, fires, and armed conflict. The result: millions of legally invisible citizens — unable to vote, access healthcare, enroll in school, or claim legal rights. --- ## 💡 The Solution CIVILIS AI is an AI-powered mobile application designed to digitize and secure civil registry documents for rural and underserved populations in Cameroon and Africa. --- ## ✨ Key Features - 📱 **Offline-first mobile app** (Flutter) Works without internet — syncs when connected - 🔍 **OCR Document Scanner** Reads and digitizes existing paper documents - 🔐 **Cryptographic Authentication** Each document gets a unique tamper-proof hash - 🤖 **AI Fraud Detection** Detects forged or inconsistent documents - 🌐 **Multilingual Support** French · English · Local languages (planned) --- ## 🛠️ Tech Stack | Layer | Technology | |-------|-----------| | Mobile | Flutter (Dart) | | Backend | Node.js + Express | | Database | MySQL + SQLite | | AI/OCR | Google ML Kit + TensorFlow Lite | | Auth | JWT + Bcrypt | | Security | SHA-256 Cryptographic Hashing | --- ## 🗺️ Roadmap - [x] System architecture design - [x] Research proposal - [ ] OCR module prototype - [ ] Authentication API - [ ] Fraud detection model (v1) - [ ] Offline sync engine - [ ] Field pilot — rural Cameroon --- ## 🎯 Target Impact - Cameroon (primary) - Sub-Saharan Africa (scale) - Any region with low connectivity and civil registry challenges --- ## 👨‍💻 Author **Dienga Lienou Warren** Software Engineer | Douala, Cameroon 📧 lienouwarren@gmail.com 🔗 GitHub --- ## 📄 License MIT License — Open for collaboration and research. --- *"Technology as a force for democratic inclusion."* --- ## 🏗️ Architecture