s3_FinalProj Computer Vision Project

Here are a few use cases for this project:

1. Agricultural Analytics: The "s3_FinalProj" model can be used to identify potato varieties in agricultural settings, which can be enormously valuable for crop management, yield estimation, research studies and more. Farmers, researchers, and agricultural managers could utilise this model for precision agriculture.

2. Grocery Retail Management: Supermarkets and grocery stores could use this model to automate their product categorisation and inventory management systems. It would speed up the process of check-in and prevent misidentification of potato varieties as well as other vegetables mentioned.

3. Smart Cooking Applications: A cooking assistant app can leverage this model to help users identify the type of potato or other veggies they have on hand and suggest suitable recipes. This would be useful for novice cooks unfamiliar with different varieties of potatoes.

4. Educational Purposes: This model could serve as an educational tool for teaching about the different varieties of potatoes in schools or in professional culinary training institutes.

5. Agricultural Exports and Controls: Government agencies can use this model for quickly identifying and sorting potato varieties during export/import processes. This can help in maintaining quality control and applying the correct tariffs or restrictive measures.