Hackathon Project: Real-time failure prediction for connected devices
Equipment failures disrupt services and incur high repair costs. By predicting failures in advance, businesses can schedule maintenance, reduce downtime, and save costs.
This AI-powered tool predicts device health using network logs (CPU usage, memory usage, error count). It includes:
- A machine learning model for real-time failure prediction.
- A REST API to serve predictions.
- An interactive dashboard for end-users.
- Predict device health (Healthy or Fail).
- Real-time inputs via the dashboard.
- REST API for seamless integration.
- Backend: Python, Flask
- Frontend: Streamlit
- Machine Learning: scikit-learn
- Deployment: Docker-ready