Skip to content

FreshCheck is a cutting-edge GitHub repository featuring an AI-driven system capable of identifying fruits and vegetables in uploaded or captured images while providing an accurate freshness score out of 100.

License

Notifications You must be signed in to change notification settings

captraj/freshcheck

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

36 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

FreshCheck - Fruit and Vegetable Freshness Assessment

FreshCheck is an intelligent system designed to identify fruits and vegetables in images and provide a freshness score. This repository includes code for the API, website, and server components of the FreshCheck system.

STAR this project if it helped you. :)

Steps to Run the Project

  1. API Implementation

    • Implement the API code using the provided MobileNetV2 neural network model.
    • Add additional layers to the model for classifying fruits and vegetables and generating a freshness score.
    • Set up the necessary dependencies and packages.
    • Configure the API endpoints for image processing and freshness assessment.
  2. Website Implementation

    • Develop the website code with user-friendly interfaces for uploading or capturing images.
    • Integrate the website with the API to send image data and receive freshness assessment results.
    • Ensure seamless communication between the website and the server.
  3. Server Setup

    • Implement the server code to handle requests and responses between the website and the API.
    • Configure the server to ensure smooth data flow and efficient functionality.

Integration Plans

  1. Integrate the models from two different repositories

  2. Integrate two models and create an efficient API to utilize both of the models.

Progress

  1. API DEVELOPMENT
    • API is ready, and is deployable
    • API is deployed using flask
    • It recieves 'image' as FORM input and returns a json with type,freshness score and freshness category
    • API docs is a plus point that has to added

Current Challenges

  1. Decide the Frontend Stack (Currently planned)
    • Framework : ReactJS
    • Build tool : Vite

Future Plans

  • Mobile App Development: Consider implementing a mobile application for FreshCheck, allowing users to assess fruit and vegetable freshness conveniently on their smartphones.
  • Improved Model: Explore opportunities to enhance the freshness assessment model by incorporating advanced machine learning techniques and expanding the dataset.
  • Integration with Supply Chain Management: Investigate possibilities for integrating FreshCheck with existing supply chain management systems to improve inventory management and quality control processes.

Please note that this README file provides an outline for the project, and the implementation steps are yet to be completed.

About

FreshCheck is a cutting-edge GitHub repository featuring an AI-driven system capable of identifying fruits and vegetables in uploaded or captured images while providing an accurate freshness score out of 100.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 3

  •  
  •  
  •  

Languages