MLDA

Inspiration There is a lot of food wastage in the world and we would like to use ML to classify food faster with less human input.

What it does Uses Edge Impulse NN to classify apples into 3 categories (Ripe, Unripe, Rotten)

How we built it

Challenges we ran into Lack of dataset for effective machine learning

Accomplishments that we're proud of We manage to finish most of the work in 45H

What we learned Basics of CNN, Web programming

What's next for Apple Software Hardware integration to automatically remove rotten food, and to have a larger dataset to better remove fruits other than apples.