Inspiration
We wanted to create a quick and efficient way to help people come defeat the difficulty of coming of with meal ideas.
What it does
Scans available ingredients in the fridge to suggest healthy meal while informing users of calories and other nutritional information.
How I built it
Project was built in a android studio environment (using Java) and relied on the TensorFlow API for object detection.
Challenges I ran into
Challenges included integrating features with android studio, finding the relevant models, and parsing data as required.
Accomplishments that I'm proud of
Managed to learn enough Android Studio Development to build a fully fledged and deployed (locally) application.
What I learned
Android Development Environment, Implementation of Environment (TensorFlow), and network, communication and teamwork skills.
What's next for Quick Kook Up
Hopefully additional features which will improve user interface, support for healthy and exotic recipes.
Built With
- android
- android-studio
- tensorflow
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