AI-powered data platform for solar site selection in Egypt using weather, air quality, and advanced analytics.
# SolarIQ Egypt ☀️
AI-powered solar site selection platform that analyzes historical weather and air quality data to identify the most optimal locations for solar energy investments in Egypt.
## 🚀 Key Features
- Solar Site Scoring Model based on 6 scientific factors
- Data pipeline (ETL) using Python, Pandas, and SQL
- Integration of NASA POWER & Air Quality APIs
- 30+ Power BI dashboards for insights and decision-making
- AI-powered recommendations and chatbot (planned)
## 📊 Data Sources
- NASA POWER API (Weather & Solar Radiation)
- Open-Meteo / Air Pollution APIs
- Historical climate datasets
## 🧠 Tech Stack
- Python (Pandas, NumPy)
- SQL Server
- Power BI
- Azure (Data Lake, Azure SQL)
- Streamlit (for AI interface)
- OpenAI / LLMs (for chatbot & insights)
## 🏗️ Architecture
Bronze → Raw Data
Silver → Cleaned Data
Gold → Aggregated & Scored Data
## 🎯 Goal
Help governments, investors, and companies make data-driven decisions for solar energy investments.
## 📌 Future Improvements
- Real-time data pipelines
- AI chatbot for decision support
- Web platform for interactive analysis
- Deployment on Azure Cloud