AI-Powered Predictive Maintenance for IoT Devices 🚀

An end-to-end Machine Learning solution to predict equipment failure before it happens using IoT sensor data.

📌 Project Overview

Industrial machines often fail unexpectedly, causing downtime. This project uses predictive modeling to analyze sensor data (temperature, vibration, pressure) and predict the 'Remaining Useful Life' (RUL) or failure probability of a device.

🛠️ Tech Stack

• Language: Python 3.12
• Libraries: Pandas, NumPy, Scikit-learn, Matplotlib
• Environment: Virtualenv / Conda

📂 Project Structure

• src/: Core Python scripts for data processing and model training.
• models/: Pre-trained model files (.pkl or .h5).
• data/: Dataset used for training (CSV/JSON).
• requirements.txt: List of dependencies.

🚀 How to Run

1. Clone this repository:

   git clone [https://github.com/panktipatel1711/-AI-Powered-Predictive-Maintenance-for-IoT-Devices.git](https://github.com/panktipatel1711/-AI-Powered-Predictive-Maintenance-for-IoT-Devices.git)