BhupeshRathore07/AWS-Deployment-Practice--Forest-Fire-Algerian

# AWS Deployment Practice - Forest Fire Algerian This repository contains the code and necessary files to deploy a Flask web application to AWS using Elastic Beanstalk. The application is a simple model to predict the burned area of forest fires in Algeria based on the input parameters like temperature, wind, relative humidity, etc. ## Files - `application.py`: This is the main Flask application file. - `model.pkl`: This is the serialized Random Forest Regression model that has been trained on the forest fire dataset. - `requirements.txt`: This file contains the list of packages required to run the application. - `.ebextensions/`: This directory contains configuration files for Elastic Beanstalk. ## Usage To run the application locally, you will need to have Python 3 installed. Clone this repository and run the following commands: ```bash pip install -r requirements.txt python application.py ``` Open a browser and go to `localhost` to view the application. To deploy the application to AWS Elastic Beanstalk, follow the steps mentioned in the official AWS Elastic Beanstalk documentation. --- ### ENJOY DATA SCIENCE 'N' CODING 🐍😎