GraciaKasereka/Mbula-keba-project

This category showcases my projects focused on exploring and analyzing complex datasets. I apply data cleaning, visualization, and exploratory data analysis techniques. # 🌧️ Mbula keba – Rain and Flood Alert App for Kinshasa **Bilangana Te** is a real-time heavy rain alert and flood prediction application designed for Kinshasa, Democratic Republic of Congo (DRC), with plans to expand to other regions. Our mission is to save lives and protect property by providing timely, localized alerts and actionable information to communities at risk of flooding. --- ## 📚 Table of Contents - Project Overview - Features - Technology Stack - Getting Started - Contributing - Roadmap - License - Contact --- ## 📌 Project Overview Flooding is a recurring and devastating problem in Kinshasa, often resulting in loss of life and property. Bilangana Te leverages real-time weather data, hydrological models, and AI to predict heavy rainfall and flood risks, delivering alerts via mobile app and SMS. --- ## ⚙️ Features - Real-time rainfall tracking using satellite data (CHIRPS, NASA POWER) - AI-driven flood prediction based on terrain and rainfall - Location-based alerts via mobile app and SMS - Interactive map of flood-prone zones in Kinshasa - Community reporting feature - Multilingual interface (French, Lingala, English) --- ## 🧱 Technology Stack - **Backend**: Python (FastAPI or Flask), Pandas, Scikit-learn - **Frontend**: React / React Native - **Data Sources**: CHIRPS, NASA POWER, Copernicus - **Mapping**: Leaflet.js or Mapbox - **Alerts**: Twilio for SMS, Firebase for push notifications - **Database**: PostgreSQL + PostGIS - **Hosting**: GitHub Codespaces (dev), Heroku / AWS / Render (prod)