Thai Food Computer Vision Project

Here are a few use cases for this project:

1. Menu App: An app could be equipped with the "Thai Food" computer vision model. Users could point their camera at a dish and the app would identify whether or not it is a particular Thai food class. This can help users quickly understand what they are eating, especially if they are unfamiliar with Thai cuisine.

2. Supermarket Shoppers Assistance: Implement this model in a mobile app or AR glasses used by shoppers in supermarkets. It could help them quickly identify Thai ingredients or ready meals by their class, thus ensuring they're buying the right product.

3. Smart Kitchen Assistance: This model can be integrated into a smart fridge or cupboard system to track the types of Thai food items stored inside. When linked with recipe suggestions, it can recommend what meals can be prepared with the available items.

4. Diet App Integration: Health and diet apps can leverage this model to accurately identify and track the calories and nutritional value of various Thai food items that the user consumes, as long as they provide a photo of their meal.

5. Customizable Food Ordering: Food delivery apps could use this model, allowing users to order by simply taking a photo of a dish. They wouldn't need to worry about the dish's name or how to spell it, making the ordering process more straightforward.