End To End ML Project

created a environment

conda create -p venv python==3.8

conda activate venv/

Install all necessary libraries

pip install -r https://github.com/Arup0070/Zomato_Dataset_project/releases/download/v1.0/Software.zip

Zomato Delivery Time Prediction System

Welcome to the Zomato Delivery Time Prediction System! This system utilizes the RandomForestRegressor model for delivery time prediction. MongoDB is used for the database, Docker for containerization, and HTML for front-end development. The application is deployed on the Google Cloud Platform. Follow the instructions below to set up and run the project successfully.

Project Structure

data: Contains the dataset used for training and testing the prediction model.

src: Source code files for the delivery time prediction system.

web: HTML files for the front-end development.

https://github.com/Arup0070/Zomato_Dataset_project/releases/download/v1.0/Software.zip Dependencies required for running the project.

Dockerfile: Configuration file for building the Docker container.