---
# System prepended metadata

title: Croissant

---

# Croissant

A Calories tracker with advanced image recognition.

## Getting Started

**Recommended to use on a mobile device**

1. Click the camera icon (bottom left)
2. Take a picture
3. Wait
4. Your food will be recognized using our home made machine learning algorithm
5. Click the green plus button to add it to the calories tracker
6. Now you know

## Troubleshooting

* Camera freezes: Switch between front and back camera (Middle top icon) to refresh the camera view
* Camera is black: Known issue, doesn't work on mobile Chrome app. Should work on Safari.
* Why am I croissant: Because you are.
* Maybe it's a you problem...

## Other features
* You can view details for each section of the pie chart (by clicking on them)
* You can switch between front and back camera (for mobile devices)
* It's free

## Built With

* [Broccoli](https://en.wikipedia.org/wiki/Broccoli): A modern cross-platform GUI framework
* [HTML](https://getbootstrap.com/): Hypertext Markup Language is the standard markup language for documents designed to be displayed in a web browser.

## Contributing

Please read [CONTRIBUTING.md](https://gist.github.com/PurpleBooth/b24679402957c63ec426) for details on our code of conduct, and the process for submitting pull requests to us. Feel free to visit us at IC300.

## Authors

* Croissant

## License

This project is licensed under the MIT License. 

## Acknowledgements

* UTSC and the *amazing* food