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💡[Feature]: Enhanced Diet Recommendation System with ML Predictions and Documentation #1612

@RB137

Description

@RB137

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Feature Description

Implement a machine learning-based diet recommendation system that predicts calorie needs and dietary types, providing personalized meal plans based on user inputs.

Use Case

This feature would significantly enhance the project by allowing users to receive personalized diet recommendations tailored to their specific needs, improving user engagement and satisfaction while promoting healthier eating habits.

Proposed Changes:

  • Implement machine learning models (Random Forest) to predict calorie needs and dietary types.
  • Refine the dataset to include relevant features for accurate predictions.
  • Enhance the user interface to display tailored meal plans based on user input.
  • Add documentation for the updated model, including README, license, and requirements files.
  • Introduce testing to ensure model accuracy and functionality.

Benefits

This feature would provide users with personalized dietary guidance, fostering healthier lifestyles and informed food choices. It would also enhance the project’s credibility and usability, attracting more users and contributors to the community.

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Currently, there is no existing model that fulfills this requirement. :

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Priority

High

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  • I have read the Contributing Guidelines
  • I'm a GSSOC'24 contributor
  • I want to work on this issue

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