Diabetes predictor

[Vivek02Sharma]

Description

Please provide a summary of the changes made in this pull request. Include any relevant motivation and context for the changes.

Fixes # (issue)

Type of Change

Please delete options that are not relevant.

• [ ] Bug fix (non-breaking change which fixes an issue)
• [ ] New feature (non-breaking change which adds functionality)
• [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
• [ ] Documentation update

How Has This Been Tested?

Please describe the tests that you ran to verify your changes. Include instructions for reproducing the tests and any relevant details about your test configuration.

Checklist

• [ ] My code follows the style guidelines of this project.
• [ ] I have performed a self-review of my code.
• [ ] I have commented my code, particularly in hard-to-understand areas.
• [ ] I have made corresponding changes to the documentation.
• [ ] My changes generate no new warnings.
• [ ] I have added tests that prove my fix is effective or that my feature works.
• [ ] New and existing unit tests pass locally with my changes.

Additional Notes

Add any other context or information that may be helpful for the reviewers.

Summary by CodeRabbit

• New Features

  • Introduced a Streamlit web application for diabetes prediction based on user health metrics.
  • Users can input indicators like glucose levels, BMI, and age to receive predictions from multiple machine learning models.
  • Added an interactive interface with a preprocessing pipeline for enhanced data accuracy.

• Documentation

  • Provided comprehensive instructions for installation and usage, including example inputs/outputs and screenshots of the app interface.

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[coderabbitai[bot]]

Walkthrough

The changes introduce a new Streamlit web application for diabetes prediction within the template/Data-Science/Prediction directory. Users can input health metrics such as glucose levels, BMI, and age to receive predictions from various machine learning models. The application includes a preprocessing pipeline, an interactive user interface, and comprehensive documentation for installation and usage, including examples and a link to a Google Colab notebook.

Changes

File Path	Change Summary
template/Data-Science/Prediction/Diabetes-Prediction	Added a Streamlit web application for diabetes prediction using multiple machine learning models.
website/content/Templates/Diabetes-Prediction/Diabetes-Prediction.md	Introduced documentation detailing the new Streamlit application, its features, and usage instructions.

Poem

In a garden of health, we now can see,
A Streamlit app, as bright as can be.
With glucose and BMI, predictions take flight,
Helping us know if our future is bright.
So hop on this journey, let data be our guide,
For a healthier tomorrow, let’s take it in stride! 🐇✨

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