MLPrep is a mobile app that offers recipe recommendations based on a picture of the ingredients, aimed to help reduce food waste by helping users figure out a meal that maximize the usage of their available ingredients 🥗. Using machine learning, MLPrep eliminates the manual work and allows users to simply take a picture of the ingredients they want to cook with 📷, and our app will automatically recognize the ingredients in the picture and generate recipes accordingly.
| Ingredients Recognition | Adding/Removing Ingredients | Recipes View |
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- Flutter/Dart for the frontend
- Tensorflow for our custom model
- Flask for the backend
- Clone the repo
git clone https://github.com/MLH-Fellowship/MLPrep.git
- Run the backend Flask server
cd flask-backend
Follow instructions here to set up and run the flask server.
- Run the Flutter frontend
Follow instructions here to set up and run the Flutter app.
We would love to have you contribute to MLPrep! Please read through the Contributing Guide to know more about how you can get started with contributing to MLPrep.
We promote an open and a welcoming environment in this community. We pledge to making participation in our project and our community a harassment-free experience for everyone. Learn more about our Code of Conduct.
🙌 Made by Emily Amspoker, Chau Vu, and Mondale Felix during MLH Fellowship Explorer Sprint 3 in Fall 2020.