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Published 20 hours ago • verified publisher icon Data-Science-Community-SRM
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Metadata

This is a machine learning web app, which when executed, the client gets to choose a food item based on his own liking, and we recommend 10 more such similar foods through our recommendation system.

Food Recomendation System

This is a machine learning web app, when executed, the client gets to choose a food item based on his own liking, and we recommend 10 more such similar foods through our recommendation system. Our system utilizes item-based collaborative filtering to implement the same. We provide a variety of cuisines to choose from with vegetarian/non-vegetarian options as well.

DOCS UI

Preview

The Project is Deployed at https://foodrecomm.herokuapp.com/

streamlit-app-2021-03-03-18-03-82

Functionalities

  • [ ] User can choose vegetarian/non-vegetarian options
  • [ ] User can select from a variety of cuisines
  • [ ] The rating scale can be set by the user
  • [ ] Our system recommends 10 food items similar to the user's initial choice

Instructions to run

  • Pre-requisites:

    • Streamlit
    • Python 3.6-3.9

  • Install Streamlit

$ pip install streamlit
  • Executing the source file
$ streamlit run app.py

Contributors

Ayush Jindal

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Joshikha M

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Suvodeep Sinha

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License

License

Made with :heart: by DS Community SRM

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verified publisher icon Data-Science-Community-SRM

Metadata

This is a machine learning web app, which when executed, the client gets to choose a food item based on his own liking, and we recommend 10 more such similar foods through our recommendation system.

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