Meal Tracker

Using photo recognition to identify food's name and store your daily meal on the website. Also let your friend or your family check on your daily meals!

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Inspiration

My girlfriend's sister hates eating, and her father has to always check on what she eats daily. I think building this photo recognization project that enables users to publish it on the website would be fun, and my girlfriend's sister would feel less pressured in eating.

What it does

It allows you to upload a picture of your meal on the website, and it will guess what it is based on the probability. It also enables your friend or relative to check on your meal gallery as well.

How we built it

I used logmeal API, Food detection based on images. Semantic tagging including food group, dish and ingredients recognition, as well as nutritional information analysis. I also use Flask to put it on the website

Challenges we ran into

To be honest, everything... This is the first time I have used an API, and I am not too familiar with flask as well. It took me as much time to figure out how to use an API as half of the time I used to build it.

Accomplishments that we're proud of

When I can actually get the API result and store it into my SQL database, I feel so proud of myself because all of the efforts were worth it!

What we learned

  • How to use API
  • Getting familiar with Flask
  • More understanding about AI
  • Integrating API with the project ## What's next for Meal Tracker It will use the time you upload a picture as training data and learn from it, then it will send a notification every time it is close to your mealtime to remind you to upload your meal.

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