ZainFaisal/Predictive-Maintenance-System

Predictive Maintenance System 🚀

This AI-powered system predicts equipment failures using machine learning models (Random Forest, ANN, and LSTM). It analyzes sensor data like temperature, speed, torque, and tool wear to provide real-time failure predictions.

🔗 Try it here: Your Hugging Face Space Link

Features

✅ Uses ML models for predictive maintenance ✅ Flask-based web interface ✅ Deployed using Docker on Hugging Face Spaces ✅ Real-time failure predictions

Installation & Usage

Clone the repository and install dependencies:

git clone https://huggingface.co/spaces/ZainFaisal/Predictive-Maintenance-System
cd Predictive-Maintenance-System
pip install -r requirements.txt
python app.py



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### **Step 2: Push the Changes to Hugging Face**
After adding the `README.md` file, commit and push the changes:

git add README.md git commit -m "Added README configuration for Hugging Face" git push origin main