sayantani-dey / burger-buster

CNN Model that classifies healthy and unhealthy food

Burger Buster

For those trying to eat less unhealthy food

Description:

This project tackles the challenge of food image classification for promoting healthy eating habits. It implements a Convolutional Neural Network (CNN) to distinguish between healthy and unhealthy food images.

Key components:

• Dataset:
  • A curated dataset of food images categorized as healthy and unhealthy.
  • Training and validation folders further divided into healthy and unhealthy subfolders.
  • A separate test folder containing images for model evaluation.
• Model:
  • A CNN architecture is implemented for image classification.
  • Achieved an accuracy of 75% on the validation set.

Overall, this project demonstrates the potential of CNNs in classifying food images for dietary awareness. The provided code and dataset can serve as a foundation for further exploration and improvement.