This is a machine learning web software that allows the user to select a meal item based on personal preferences before receiving ten further suggestions for comparable foods. To do the same, our solution makes use of item-based collaborative filtering. We provide a selection of cuisines, including vegetarian and non-vegetarian options.
- Options are available for vegetarians and non-vegetarians.
- The user has a selection of cuisines to choose from.
- The user can modify the rating system.
- Ten food items related to the user's initial selection are suggested by our algorithm.
The k-nearest neighbors algorithm, also known as KNN or k-NN, is a non-parametric, supervised learning classifier, which uses proximity to make classifications or predictions about the grouping of an individual data point. is a reliable and intuitive recommendation system that leverages user or item similarity to provide personalized recommendations.
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Pre-requisites:
- Streamlit
- Python 3.6-3.9
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Install Streamlit
$ pip install streamlit- Executing the source file
$ streamlit run app.py