Predictive-maintenance-using-ML

Overview

This project involves building a predictive maintenance model using the RandomForest classifier to forecast potential failures in machinery. The model aims to predict when maintenance is needed to prevent unexpected breakdowns and reduce downtime.

How to run?

STEPS:

Clone the repository

https://github.com/shashank1202/Predictive-maintenance-using-ML

STEP 01- Create a conda environment after opening the repository

conda create -n project2 python=3.8 -y

conda activate project2

STEP 02- install the requirements

pip install -r requirements.txt

Author: Shashank S
AI Engineer
Email: shashank.s.1202@gmai.com

Futher Developement.

1. Try to develop Flask application on top of this model (use saved model.pkl file for integration)
2. Dockerize this as an Image and perform CI/CD deployment using AWS with Github Actions.