🔗 GitHub

Description

The Calories Calculator project allows users to input an image, which is then processed through the Hugging Face Vision Transformer (ViT) model to recognize the contents of the image. After the recognition step, the model performs processing to estimate the calories of the food item depicted in the image.

Workflow

  1. Input Image: The user uploads an image containing a food item.
  2. Image Processing: The image is passed through the ViT model from Hugging Face for image recognition. The model analyzes the image and identifies the food item.
  3. Calorie Estimation: Once the food item is recognized, the system calculates an estimated calorie count based on predefined information about common food items and their caloric content.

Technologies Used

  • Vision Transformer (ViT) from Hugging Face for image recognition.
  • Python for backend processing.
  • Deep Learning for object recognition.

Next Steps

  • Enhance the model’s accuracy by expanding the food dataset for better recognition.
  • Explore different models for calorie estimation to improve accuracy.
  • Implement a more detailed database of food items for precise calorie calculations.