Misaki's Kitchen

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Inspiration

In light of our inevitable journeys to college and beyond, we aimed to create a webapp that would provide nutritious advice, based on the inputs of the user.

What it does

Misaki's Kitchen provides food recommendations based on the food availability/recipe ideas provided by the user. Misaki, the artificial character, provides generations to suit the user's needs.

How we built it

We utilized Python in the backend and integrated OpenAI API's to form the core of the generation model. In addition, we used frontend frameworks like Anvil and seemlessly integrated the two to make a webapp. We also created a website to demonstrate our project.

Challenges we ran into

Challenges mainly came when we tried to push for further applications. Attempts to create Discord and Instacart integration both failed due to API restrictions. Python was also unusable on one computer, and running code between operating systems was difficult.

Accomplishments that we're proud of

We are mainly proud of our presentation and design, since we set out from the beginning to make a visually pleasing project and believe we were able to achieve this. We are also proud of the seamless interaction between the frontend and backend because it was very difficult to connect scripts to the visual elements hosted on the web.

What we learned

We learned mainly how to apply Python to front-end, which we found to actually work pretty well despite Python not being exactly known for presentation. Additionally, we learned how to structure our files working in a team environment.

What's next for Misaki's Kitchen

We plan to expand Misaki's kitchen by adding integrations to sites such as Instacart or Doordash so it almost feels like you have a spouse who can buy food for you or go shopping. We also want to add more integrations into apps such as Discord or Snapchat to appeal to wider audiences.

Built With

• anvil
• chatgpt
• dall-e
• openai
• python