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https://github.com/binary-shade/ai_phase1

This is a private repository for skillup online
https://github.com/binary-shade/ai_phase1

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This is a private repository for skillup online

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# Diabetes Prediction Using AI Model

## screenshot

![Screenshot_20231030_225413](https://github.com/Binary-Shade/AI_Phase1/assets/115919438/99f66af3-685c-434c-978c-cb8b1b875646)

## Table of Contents

- [Overview](#overview)
- [Demo](#demo)
- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [Dataset](#dataset)
- [Contributing](#contributing)
- [License](#license)
- [Contact](#contact)

## Overview

Diabetes Prediction Using AI Model is a project that leverages machine learning to predict the likelihood of an individual having diabetes based on various health-related features. The project includes a trained model and a user-friendly web application for predicting diabetes risk.

![Demo GIF](demo.gif) (Include a GIF or video showcasing your project in action)

## Demo

For a live demo of the Diabetes Prediction Web Application, visit [here](https://example.com/diabetes-prediction).

## Features

- Predicts diabetes risk based on user-input health data.
- Provides user-friendly interface for input.
- Utilizes a trained machine learning model for accurate predictions.

## Installation

1. Clone the repository:

```bash
git clone https://github.com/yourusername/diabetes-prediction.git
```

2. Navigate to the project directory:

```bash
cd diabetes-predictive-app
```

3. Install dependencies:

```bash
pip install -r requirements.txt
```

## Usage

1. Start the web application:

```bash
python app.py
```

2. Open a web browser and go to `http://localhost:5000` to access the application.

3. Input the required health data, and click the "Predict" button to get the diabetes risk prediction.

## Dataset

The machine learning model is trained on the [Diabetes Dataset]( (https://www.kaggle.com/datasets/mathchi/diabetes-data-set). You can find more information about the dataset and its attributes in the [dataset folder](/dataset).

## Contributing

Contributions are welcome! Please refer to our [Contributing Guidelines](CONTRIBUTING.md) for details on how to contribute to this project.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Contact

If you have any questions or suggestions, feel free to contact us at [[email protected]](mailto:[email protected]).

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