ML + monitoring
Real-time monitoring and alerts for low-tension power lines, with a predictive fire-hazard model.
- Role
- ML and full-stack developer
- Year
- 2024
- Status
- Hackathon
- Links
- GitHub
01
The problem
Faults on low-tension lines are often found only after they cause outages or fires.
02
Key features
- 01Fault monitoring
- 02Fire-hazard prediction
- 03Automated alerts
03
Architecture highlights
Python ML model behind a MERN monitoring dashboard.
04
Tech stack
Stack
- Python
- Machine Learning
- React
- Node.js
- MongoDB
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