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YusuphSalimu/tanzania-real-estate-ai

Domain:

socioeconomic

Record type:

software
Creator:
Yus
Host:
AI-powered real estate platform for Tanzania with authentic market data, price predictions, and contact integration # 🏠 AI-Powered Real Estate Intelligence Platform for Tanzania ## 📊 Problem Statement Tanzania's real estate market faces critical challenges: - **Fragmented data sources** - No centralized property database - **Price inconsistency** - Unreliable property valuations - **Informal markets dominate** - 70% of houses built by individuals - **Data poverty** - Hard to get accurate market trends - **Housing deficit** - 3M+ units needed, demand ~200,000 units/year ## 🚀 Solution Overview An AI-powered platform that brings transparency and intelligence to Tanzania's real estate market through: - **ML-powered price predictions** using location, property features, and market trends - **Real-time market analytics** with demand heatmaps and investment insights - **Intelligent recommendations** based on user preferences and budget - **Comprehensive property database** aggregated from multiple sources ## 🛠️ Tech Stack ### Backend (AI + API) - **Python** with FastAPI - **ML Models**: scikit-learn, XGBoost, TensorFlow - **Data Processing**: pandas, numpy - **API Documentation**: OpenAPI/Swagger ### Frontend (Modern UI) - **React.js** with modern hooks - **Tailwind CSS** for responsive design - **Chart.js / Recharts** for data visualization - **Google Maps API** for location intelligence ### Database & Infrastructure - **MongoDB** for flexible property data storage - **Redis** for caching ML predictions - **Render** for backend deployment - **Netlify** for frontend hosting ### ML Core Features 1. **House Price Prediction** - Location-based ML models 2. **Rental Price Estimation** - Market trend analysis 3. **Property Recommendation System** - AI-powered matching 4. **Market Analytics Dashboard** - Real-time insights ## 📊 Data Sources ### Primary Sources - **Tanzania National Bureau of Statistics (NBS)** - Census and housing data - **World Bank / IPUMS** - Demographic and income data - **OpenStreetMap** - Location intelligence (roads, schools, hospitals) - **Satellite Data** …

Visit

github.com

Licenses

MIT