https://github.com/binary-shade/ai_phase1
This is a private repository for skillup online
https://github.com/binary-shade/ai_phase1
Last synced: about 2 months ago
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This is a private repository for skillup online
- Host: GitHub
- URL: https://github.com/binary-shade/ai_phase1
- Owner: Binary-Shade
- Created: 2023-09-28T16:28:19.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-04-18T14:49:39.000Z (about 1 year ago)
- Last Synced: 2025-02-04T17:52:19.402Z (4 months ago)
- Language: HTML
- Size: 656 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Diabetes Prediction Using AI Model
## screenshot

## 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.
 (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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