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heikalazzouna-svg/tunisian-house-price-predictor

Domain:

socioeconomic

Record type:

softwaremodel
Creator:
hei
Host:
Interactive house price predictor for Tunisia using ML # Tunisian House Price Predictor An end-to-end, production-ready machine learning microservice for predicting real estate prices in Tunisia. Built with **Scikit-Learn/XGBoost/LightGBM**, orchestrated via **ZenML**, tracked by **MLflow**, served via a **FastAPI** REST backend, and visualized through a premium **React (Vite)** frontend and an alternative **Streamlit** dashboard. ## 🌟 Key Features - **Tunisian Market Focus**: Trained on real scraped data from Tayara, Menzili, and Mubawab across multiple Tunisian cities (Tunis, Ariana, Sousse, Sfax, etc.). - **Microservices Architecture**: Fully decoupled frontend (React/Streamlit) and backend (FastAPI) wrapped in Docker containers. - **Advanced Machine Learning**: Compares multiple models including XGBoost, LightGBM, Random Forest, Gradient Boosting, Ridge, and Lasso. - **Explainable AI (XAI)**: Integrated **SHAP** (SHapley Additive exPlanations) for global and local feature importance. - **Premium Frontend**: A custom-built React application featuring dark mode, glassmorphism, dynamic micro-animations, and interactive price sensitivity charts. ### App Previews --- ## 🏗️ Architecture ```mermaid flowchart LR subgraph MLOps Pipeline Data[Raw Data] --> ZenML[ZenML Pipelines] ZenML --> Train[Model Training] Train --> MLflow[MLflow Tracking] Train --> Export[model.pkl] end subgraph Docker Containers API[FastAPI Backend\nPort 8000] React[React Frontend\nPort 5173] Streamlit[Streamlit App\nPort 8501] Export -.-> API React -- POST /predict --> API Streamlit -- POST /predict --> API end ``` --- ## 🚀 Quick Start (Docker) The absolute easiest way to run this project is via Docker Compose. 1. Clone the repository: ```bash git clone github.com cd tunisian-house-price-predictor ``` 2. Spin up the entire microservices stack: ```bash docker-compose up --build ``` 3. Access the services: - **Premium React App**: localhost - **Streamlit App* …

Visit

github.com

Languages

Tachelhit

Licenses

MIT

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