lohithgsk/intelligent-component-failure-forecasting

This application uses LSTM analysis to predict when heavy vehicle machines might fail, based on their history and usage patterns. Built with a user-friendly interface using HTML, CSS, JS, and a Flask backend, it also features real-time anomaly detection and collects customer feedback to improve accuracy.

12
/ 100
Experimental

No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 0 / 25
Maturity 9 / 25
Community 3 / 25

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2

Language

Jupyter Notebook

License

GPL-3.0

Last pushed

Jul 11, 2024

Commits (30d)

0

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