Circuit Sage is an intelligent chatbot that was developed as part of our Smart India Hackathon 2023 Winning project. This chatbot is designed to assist users by identifying and providing solutions for common issues related to transformers and substations. With the integration of AI/ML and image processing, the system can detect faults in transformers and recommend solutions based on uploaded images.
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💬 AI Chatbot Assistance
The chatbot handles common queries related to transformers and substations, providing instant solutions and guidance. Using RAG -
📸 Image Upload for Fault Detection
Users can upload images of transformers, and the system uses an AI-based model to detect faults such as overloads, physical damages, or other issues. -
🔧 Fault Detection and Solution
The chatbot identifies common issues like electrical faults, maintenance needs, or safety concerns and offers relevant solutions. -
📊 Testing Forms for Diagnostics
Includes several testing forms to evaluate the health of transformers, such as overload, insulation health, and temperature checks. -
🧠 Machine Learning Model
Custom-trained model for image detection to identify transformer faults based on uploaded images. Model trained using Python and Flask. -
⚡ Real-Time Transformer Monitoring
Provides real-time monitoring of transformer status with reports and suggestions for maintenance.
- Backend: Flask (Python)
- AI/ML Framework: TensorFlow, Keras, PyTorch
- Image Detection: Custom-trained OpenCV model for fault detection
- Deployment: Python-based server on Flask
- Our Amazing Team Lead: Nisarg Wath
- Team Members:
- Jatin Vishwakarma
- Rajat Petkar
- Devashri Kapse
- Om Rakhade
- Gayatri Potbhare
- We welcome contributions to enhance the system further. Feel free to submit a pull request or open an issue to discuss any improvements.