EatSafely is a web application designed to detect spoiled fruits and prevent foodborne illness. By utilizing image recognition technology, our app is able to identify fruits that have gone bad and alert the user to dispose of them.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
You will need to have the following software installed on your machine:
- Node.js
- npm
- Clone the repository to your local machine
git clone https://github.com/IdkwhatImDing/EatSafely.git - Navigate to the project directory
cd EatSafely - Install the required packages
npm install - Start the development server
npm start - React - The web framework used
- TensorFlow.js - Image recognition library
- Dataset - Good or Bad fruits dataset
EatSafely is a project submission for the Treasure Hacks hackathon 3.0
According to the Centers for Disease Control and Prevention (CDC), there are an estimated 48 million cases of foodborne illness in the United States each year. This results in approximately 128,000 hospitalizations and 3,000 deaths. The most common causes of foodborne illness are norovirus, Salmonella, and Clostridium perfringens. The CDC also estimates that the economic cost of foodborne illness in the United States is around $15.6 billion per year. A portion of this would be from spoiled food(fruits).
EatSafely is a web app that detects spoiled food(fruits) to prevent hospitalizations that could have monetary consequences.
With the integration of Machine Learning and some dataset the webapp will be able to identify each image of a fruit uploaded and determines if it's is safe to eat.
- Art3mis - IdkwhatImD0ing
- TheCoolDeveloper - TheCoolGDev
- Suryangsu Chandra - PoPsMokE07
- Prolific Tutor - Mohashar
This project is licensed under the MIT License.