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| title: Solar Fault Monitor | |
| emoji: π | |
| colorFrom: yellow | |
| colorTo: red | |
| sdk: streamlit | |
| sdk_version: "1.32.0" | |
| app_file: app.py | |
| pinned: false | |
| # π Solar Panel Thermal Fault Detection β Streamlit App | |
| This Streamlit-based dashboard simulates a real-time AI-enabled monitoring system that detects faults in solar panels using thermal imaging. It can identify issues such as overheating, dust accumulation, and panel breakage, and visualize alert levels using a clean, interactive interface. | |
| ## π Features | |
| - πΉ Simulated thermal fault detection (hotspots, dust, cracks) | |
| - π§ AI-ready structure (uses placeholders for AI models like `facebook/detr-resnet-50`) | |
| - π Real-time dashboards with alert levels (Green, Yellow, Red) | |
| - π Interactive charts and metrics (tilt, vibration, power generation) | |
| - π§ Designed for Hugging Face Spaces with Docker deployment | |
| ## ποΈ Project Structure | |