This project was developed for the 5-Day Gen AI Intensive Course with Google, showcasing how Generative AI can enhance predictive maintenance for rotating equipment. Read more about it in my Medium post.
- Fault Detection: SVM classifier identifies common rotating equipment faults from vibration time series data
- AI-Enhanced Interpretation: Gemini API provides human-readable explanations of fault conditions
- Function Calling: Natural language interface for equipment diagnosis
- Structured Reporting: Generates consistent maintenance recommendations with priority levels
- Function Calling: Getting Gemini to trigger analysis functions when someone asks about equipment
- Few-Shot Learning: Showing Gemini some examples so it knows how to interpret fault data
- Structured Output: Getting consistent, JSON-formatted reports instead of random text
- Integration with real sensors and IoT systems
- Expanded fault detection capabilities
- Equipment history incorporation
- Mobile interface development
Thanks for checking out my project! 🔧✨