Food And More Food

• 

  Training data after standardization

• 

  Example of result

• 

  During training.

Inspiration

• Inspired by the need for more food options, see how food can look outside a university cafeteria.

What it does

• The website generates pictures of food with the opportunity for new dishes to show up every now and then.

How we built it

• Trained using the Food-101 dataset, using pytorch and HTML/CSS/JS for the website.

Challenges we ran into

-We couldn't finish the training in time. Because we waited so long for the training, we also couldn't finish the website development in time

Accomplishments that we're proud of

-giving it a good old try -learning more abut AI, R, and HTML

What we learned:

training AI has a lot of other barriers that need to be accounted for.

What's next for Food And More Food

• Rutgers is currently doing research on converting images of food into AI. This could result in the creation of new recipies.

Built With

• css
• html5
• javascript
• python
• r