zax4r0/fruit-freshness-detector

Fruit Freshness Detector

Copied STUFF from https://github.com/ShaileshDhama/Rotten-v-s-Fresh-Fruit-Detection 🤓

This project is a web application that allows users to upload images of fruits and determines whether the fruit is fresh or rotten.

Project Structure

• setup_env.sh: Bash script to set up the virtual environment and install dependencies.
• run_app.sh: Bash script to run the web application and open it in the default browser.
• requirements.txt: List of required Python packages.
• app.py: Flask web application for handling file uploads and displaying results.
• upload.html: HTML template for the file upload page.
• result.html: HTML template for displaying prediction results.

Setup

Download the dataset from here

1. Clone the repository:

   git clone https://github.com/zax4r0/fruit-freshness-detector.git
   cd fruit-freshness-detector

2. Ensure that you have Python 3 installed on your system.

3. Run the setup script to create a virtual environment and install the necessary dependencies:

   chmod +x setup_env.sh
   ./setup_env.sh

   This script will:

   • Create a virtual environment named .venv.
   • Activate the virtual environment.
   • Install the required packages from requirements.txt.
   • Install Jupyter if it's not already installed.

Running the Web Application

1. After setting up the environment, run the web application script:

   chmod +x run_app.sh
   ./run_app.sh

   This script will:

   • Activate the virtual environment.
   • Start the Flask web application.
   • Open the default web browser to http://127.0.0.1:5000/.

2. You can now use the web application to upload images and see the freshness prediction.

Screenshots

Upload Page

Result Page

Contributing

If you would like to contribute to this project, please fork the repository and submit a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.