Spaces:
Running
Running
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README.md
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**Classes**: `['Bird-drop', 'Clean', 'Dusty', 'Electrical-damage', 'Physical-Damage', 'Snow-Covered']`
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## Architecture
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### System Workflow
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### Use Case Diagram
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**Models**: ResNet18 + XGBoost + RandomForest | **ONNX v1.15**
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## Dependencies Installation
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```bash
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pip install -r requirements.txt
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```
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**Outputs**: `resnet18_solar.onnx`, `xgboost_degr.onnx`
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**Output**: `{"priority": "HIGH", "30d_loss": "18.2%"}`
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## ONNX Inference
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```bash
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cd code
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python infer.py
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```
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**Live Demo**: [HuggingFace Space](https://huggingface.co/spaces/Abs6187/TechTrident)
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## Quick Results
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| Metric | Value |
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|--------|-------|
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| Defect Acc | **99.2%** |
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| Degradation RMSE | **0.87%** |
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| Inference | **15ms** |
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## Structure
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```text
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/model
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└── final_model.onnx
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/code
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├── training.ipynb
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└── infer.py
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/data
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└── dataset_info.txt
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/logs
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└── training_logs.txt
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app.py ← Hugging Face Spaces entry point
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README.md
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requirements.txt
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```
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## Team TechTrident
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- **Lead ML Engineer**: Dev Kumar Sharma (Kuch aur Train krna hai Model)
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- **Computer Vision**: Abhay Gupta
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- **Full-Stack Dev**: Aditya Patwa
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- **BTech CS, Shri Ram IT, Jabalpur**
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**Contact**: [contact2abhay@gmail.com](mailto:contact2abhay@gmail.com)
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**Datasets**: [PV Panel Defect Dataset](https://www.kaggle.com/datasets/alicjalena/pv-panel-defect-dataset)
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**TechTrident** | Wadla 4.0 Hackathon 2025
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title: TechTrident
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emoji: 🚀
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colorFrom: red
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colorTo: yellow
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sdk: gradio
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sdk_version: 6.1.0
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app_file: app.py
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pinned: false
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