Umwanankabandi-liliane/Inzira

An AI-Powered Opportunity Search and Discovery Platform for Youth Development in Rwanda # Inzira **Inzira** is a full-stack web and mobile application that helps young people in Rwanda discover scholarships, jobs, internships, training, competitions, free courses, and programs all in one place. It uses AI-powered verification to surface trustworthy opportunities and provides government (MIFOTRA/MoTLA) with a dedicated analytics dashboard. ## Quick Links | Item | Link | |---|---| | Live Web App | Open Inzira | | Demo Video | Watch the demo | | Android APK | Download APK | | GitHub Repo | Umwanankabandi-liliane/Inzira | ## What the App Does - **District-level filtering** — Shows opportunities near users based on their district in Rwanda - **AI Trust Scores** — Machine-learning model rates listing reliability so users avoid scam or low-quality pages - **Smart Search** — Filter by category (scholarship, job, internship, etc.), save pages, and track deadlines - **Chat Assistant** — Built-in assistant answers quick questions about opportunities - **Personalized Matching** — Recommends opportunities based on user profile - **Government Dashboard** — Separate MoTLA/MIFOTRA dashboard for analytics, district-level gap detection, and planning ## Project Structure ``` Inzira/ ├── inzira-backend/ # Main web app, REST API, and backend logic (FastAPI + Python) │ ├── main.py # App entry point │ ├── requirements.txt # Python dependencies │ ├── .env.example # Environment variable template │ ├── routers/ # API route handlers │ ├── models/ # ML model inference and data models │ ├── services/ # Firebase, Groq, scraping services │ └── static/ # Frontend assets ├── Inzira-app/ # Android mobile app (APK) ├── inzira_dataset/ # Web scraping scripts and labeled training data │ ├── scraper.py # Opportunity page scraper │ └── dataset.csv # 551 hand-labeled opportunity listings ├── notebooks/ # Model training and experiment notebooks │ ├── …