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https://github.com/binarybardakshat/madhu.ai

Madhu.AI is a user-friendly GUI application designed to predict an individual's diabetic status based on various health metrics utilizing a Support Vector Machine (SVM) model.
https://github.com/binarybardakshat/madhu.ai

diabetes-prediction machine-learning python

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Madhu.AI is a user-friendly GUI application designed to predict an individual's diabetic status based on various health metrics utilizing a Support Vector Machine (SVM) model.

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# Madhu.AI - Diabetes Predictor 💉

Madhu.AI is a user-friendly GUI application designed to predict an individual's diabetic status based on various health metrics utilizing a Support Vector Machine (SVM) model.

## Features

- Predicts diabetes status accurately based on input health metrics.
- Intuitive GUI developed with Tkinter for ease of use.
- Utilizes SVM algorithm, known for its effectiveness in classification tasks.
- Clear button provided to conveniently reset input fields for new predictions.

## Usage

1. Enter the following health metrics:
- Pregnancies
- Glucose level
- Blood Pressure
- Skin Thickness
- Insulin level
- BMI (Body Mass Index)
- Diabetes Pedigree Function
- Age

2. Click on the "Predict" button to obtain the prediction.

3. Use the "Clear" button to reset all input fields for new entries.

## Contributors

- Akshat Shukla (@binarybardakshat) - Creator

## License

This project is licensed under the [MIT License](https://opensource.org/licenses/MIT).