Essi2030/smart-energy-project
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# π’ Smart Energy Monitoring Dashboard with AI & IoT A real-time, AI-powered dashboard for predicting and monitoring electricity consumption in smart buildings β designed for deployment in the UAE Smart City ecosystem. --- ## π₯ Why this project matters ποΈ The UAE is investing heavily in sustainable energy and smart buildings. This project aligns with UAE Vision 2031 by offering a real-time dashboard that combines: - π‘ IoT sensor data (temperature, humidity, occupancy) - π§ Machine Learning (XGBoost for energy forecasting) - βοΈ FastAPI (for scalable inference) - π Streamlit dashboard (with bilingual UI: English & Arabic) - βοΈ Deployed on AWS EC2 with Nginx + HTTPS --- ## π Tech Stack | Layer | Tech | |-------------|----------------------------| | Frontend | Streamlit (bilingual) | | Backend | FastAPI | | ML Model | XGBoost + pandas | | Data | Simulated IoT (sensor) | | Hosting | AWS EC2 (Ubuntu 22.04) | | HTTPS | Nginx + Certbot SSL | | Monitoring | systemd + journalctl logs | --- ## π· Screenshots <img src="screenshots/form.png" width="400" /> <img src="screenshots/prediction_chart.png" width="400" /> --- ## π Live Demo π https://dashboard.yourdomain.com (Live on AWS) Username: `demo` Password: `smartai2025` (if auth enabled) --- ## π¦ Project Structure smart-energy-project/ βββ dashboard/ # Streamlit frontend βββ api/ # FastAPI backend βββ model/ # ML training scripts βββ utils/ # Data simulation βββ data/ # Sensor CSVs βββ requirements.txt βββ README.md --- ## π§ Future Enhancements - Connect to real-time IoT sensors (MQTT or AWS IoT Core) - Add user login (JWT-based) - Migrate database to AWS RDS (PostgreSQL) - Deploy via CI/CD pipeline (GitHub Actions) --- ## π€ Let's Connect Feel free to explore, fork, and message me: π LinkedIn: [linkedin.com/in/dr-ehsan-zafari-ai-ml/](https://www.linkedin.com/in/dr-ehsan-zafari-ai-ml/) π§ Email: zafari.ehsan109@gmail.com π GitHub: [github.com/Essi2030](https://github.com/Essi2030) ---