This project is focused on detecting faults in sensors used in various industries. It uses machine learning algorithms to predict anomalies in sensor data. The goal is to provide early warnings of sensor failures, allowing for timely maintenance and preventing costly downtime. The project includes data preprocessing, , model training, and prediction modules. It also provides utilities for uploading data to a database for further analysis.
pip install -r requirements.txt