Computer Vision Model: Choose a model for food recognition (e.g., TensorFlow, PyTorch, pre-trained models like YOLO, MobileNet).
Nutritional Database: Select a database/API for nutritional information (e.g., USDA Food Database, Edamam).
Frameworks: Choose development frameworks for front-end and back-end (e.g., React, Django, Flask).
Computer Vision Model: Choose a model for food recognition (e.g., TensorFlow, PyTorch, pre-trained models like YOLO, MobileNet). Nutritional Database: Select a database/API for nutritional information (e.g., USDA Food Database, Edamam). Frameworks: Choose development frameworks for front-end and back-end (e.g., React, Django, Flask).