Disease Treatment and Home Remedies

Table of Contents

• Introduction
• Features
• Technologies Used
• Installation and Setup
• Usage
• Data Source
• Future Enhancements
• Contributing
• License

Introduction

Our website is a one-stop solution for people looking for treatment or medicines for a particular disease. Recognizing the growing trend towards Ayurveda, our platform not only displays allopathic medicines but also provides information on home remedies. This approach aims to empower users to make informed decisions and choose the treatment that best aligns with their needs and values, both financially and health-wise.

Features

• Comprehensive database of allopathic and Ayurvedic medicines for various diseases
• User-friendly interface to search and explore treatment options
• Detailed information on each medicine, including descriptions, side effects, and dosage
• Recommendations for effective home remedies as complementary or alternative treatments
• Integration with a Streamlit app for seamless user experience

Technologies Used

• Python
• HTML
• CSS
• JavaScript
• Streamlit

Screenshots

Demo Video

Demo video: https://youtu.be/ak5YUwMqaq0

Installation and Setup

1. Clone the repository:

git clone https://github.com/your-username/disease-treatment-and-home-remedies.git

2. Install the required dependencies:

pip install -r requirements.txt

3. Run the Streamlit app:

streamlit run app.py

Usage

1. Access the website through your preferred web browser.
2. Use the search functionality to find information about a specific disease.
3. Explore the available allopathic medicines and Ayurvedic home remedies.
4. Review the details of each treatment option, including descriptions, side effects, and dosage.
5. Use the information provided to make an informed decision about the best treatment approach for your needs.

Data Source

The dataset used for this project was obtained from Kaggle, which includes information on allopathic and Ayurvedic medicines.

Future Enhancements

• Integrate machine learning algorithms to provide personalized treatment recommendations based on user inputs
• Develop a mobile application for improved accessibility
• Expand the database to include more comprehensive information on traditional and alternative therapies

Contributing

We welcome contributions to this project. If you would like to contribute, please follow these steps:

1. Fork the repository
2. Create a new branch
3. Make your changes
4. Submit a pull request

License

This project is licensed under the MIT License.