This project implements predictive maintenance using machine learning and is deployed on AWS. Follow the steps below to set up and run the application.

• Python 3.x must be installed on your system.

To clone this repository to your local machine, use the following command:

git clone https://github.com/satishkumarmurugan/Predictive-Maintenance-using-Flash-deployed-using-AWS.git

Navigate into the cloned repository:

cd Predictive-Maintenance-using-Flash-deployed-using-AWS

If you haven't already installed Python, download and install it from the official website: Python Downloads.

Ensure Python is added to your system's PATH.

Once you have Python installed, navigate to the project directory and install the required dependencies using the following command:

pip install -r requirements.txt

This will install all the necessary Python packages specified in the requirements.txt file.

To start the application, run the following command:

python app.py

This will launch the predictive maintenance application. You can now access the application in your browser at http://localhost:5000 (or the specified port in your code).

This project is deployed using AWS for cloud hosting. Link:- http://ec2-3-108-228-79.ap-south-1.compute.amazonaws.com:8080