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https://github.com/theanujsinha01/predictive-maintenance-model
This application leverages machine learning to predict the Mean Time to Failure (MTTF) for industrial equipment. Built with Streamlit, it provides a user-friendly interface for real-time predictions based on input parameters such as product type, humidity, temperature, age, and quantity.
https://github.com/theanujsinha01/predictive-maintenance-model
machine-learning python streamlit
Last synced: 25 days ago
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This application leverages machine learning to predict the Mean Time to Failure (MTTF) for industrial equipment. Built with Streamlit, it provides a user-friendly interface for real-time predictions based on input parameters such as product type, humidity, temperature, age, and quantity.
- Host: GitHub
- URL: https://github.com/theanujsinha01/predictive-maintenance-model
- Owner: theanujsinha01
- Created: 2024-12-27T10:14:49.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2025-01-04T13:01:51.000Z (about 1 month ago)
- Last Synced: 2025-01-04T13:48:20.498Z (about 1 month ago)
- Topics: machine-learning, python, streamlit
- Language: Jupyter Notebook
- Homepage:
- Size: 357 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Predictive Maintenance Model 🔧
This application leverages machine learning to predict the **Mean Time to Failure (MTTF)** for industrial equipment. Built with **Streamlit**, it provides a user-friendly interface for real-time predictions based on input parameters such as product type, humidity, temperature, age, and quantity.
## Key Features
- **Accurate Predictions**: Predicts MTTF using a pre-trained machine learning model.
- **Interactive Interface**: Simple and intuitive form-based inputs for users.
- **Real-Time Results**: Instant predictions displayed upon submitting inputs.
- 
## System Requirements
- **Python**: Version 3.8 or later
- Libraries:
- `streamlit`
- `joblib`
- `numpy`
- `pandas`
- `scikit-learn`
## Installation Instructions
1. **Clone the Repository**:
```bash
git clone https://github.com/your-username/predictive-maintenance-model.git