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https://github.com/saro0307/pre-doctor-ai-model
Pre-Doctor is an AI-driven health advisor using sci-kit-learn, offering quick medical advice based on user-input symptoms, making healthcare accessible and user-friendly. Utilizing Flask and pyttsx3, it seamlessly integrates machine learning for informed well-being.
https://github.com/saro0307/pre-doctor-ai-model
artificial-intelligence css flask generative-ai generative-model html machine-learning python reinforcement-learning scikit-learn
Last synced: about 2 months ago
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Pre-Doctor is an AI-driven health advisor using sci-kit-learn, offering quick medical advice based on user-input symptoms, making healthcare accessible and user-friendly. Utilizing Flask and pyttsx3, it seamlessly integrates machine learning for informed well-being.
- Host: GitHub
- URL: https://github.com/saro0307/pre-doctor-ai-model
- Owner: saro0307
- License: mit
- Created: 2023-12-22T15:15:25.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-12-22T17:06:25.000Z (about 1 year ago)
- Last Synced: 2024-08-06T22:07:18.792Z (5 months ago)
- Topics: artificial-intelligence, css, flask, generative-ai, generative-model, html, machine-learning, python, reinforcement-learning, scikit-learn
- Language: Python
- Homepage:
- Size: 172 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Pre-Doctor
## Overview
Pre-Doctor is an AI model designed to provide medical advice based on user-input symptoms. This project utilizes sci-kit-learn, pandas, pyttsx3, Flask, Flask-SQLAlchemy, and NumPy to create an interactive platform for users seeking preliminary medical guidance.
## Features
- **Symptom-based Medical Advice:** Takes user-input symptoms and generates medical advice using a trained AI model.
- **Scikit-Learn Integration:** Leverages sci-kit-learn for machine learning functionalities and model development.
- **Database Integration:** Utilizes Flask-SQLAlchemy for managing and storing medical data efficiently.
- **Text-to-Speech (TTS):** Implements pyttsx3 for converting text responses into speech for user convenience.
## Technologies Used
- **Machine Learning Library:** sci-kit-learn
- **Data Manipulation:** pandas, NumPy
- **Text-to-Speech:** pyttsx3
- **Web Framework:** Flask
- **Database Management:** Flask-SQLAlchemy
## Installation
1. Clone the repository: `git clone https://github.com/yourusername/pre-doctor.git`
2. Navigate to the project directory: `cd pre-doctor`
3. Install dependencies: `pip install -r requirements.txt`
## Usage
1. Run the Flask application: `python app.py`
2. Access the application in your web browser at `http://localhost:5000`
## Contributing
Contributions to enhance the model, improve the user interface, or add new features are welcome. Please refer to the CONTRIBUTING.md file for guidelines.
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Disclaimer
Pre-Doctor is designed for providing preliminary medical advice and is not a substitute for professional medical consultation. Users are advised to consult qualified healthcare professionals for accurate and personalized medical information.
Thank you for using Pre-Doctor!