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Health Genie is an AI-powered chatbot designed to assist individuals in the healthcare sector. It leverages cutting-edge natural language processing (NLP) technologies and blockchain to provide personalized medical advice and secure data storage.
- AI-powered Medical Advice: Health Genie utilizes a large language model (LLM) from Hugging Face to provide accurate and reliable medical advice based on user queries.
- Medical File Upload: Users can upload their medical files (e.g., reports, scans, test results) for the AI to analyze and provide personalized recommendations.
- Secure Data Storage: Leveraging Web3.0 and blockchain technology, user data and medical files are securely stored on a decentralized network, ensuring privacy and data integrity.
- Interactive Chatbot Interface: Health Genie offers an intuitive and user-friendly chatbot interface for seamless interaction and query resolution.
- Natural Language Processing (NLP): Hugging Face's open-source LLM for accurate medical advice generation.
- Web3.0 and Blockchain: Decentralized data storage and secure transactions using blockchain technology.
- Front-end Development: React.js for building the interactive chatbot interface.
- Back-end Development: Node.js and Express.js for server-side logic and API integration.
To run the Health Genie AI Chatbot locally, follow these steps:
- Clone the repository:
git clone https://github.com/losercodes/health-genie.git
- Install dependencies:
cd health-genie npm install
- Configure the required environment variables (e.g., API keys, blockchain network settings).
- Start the development server:
##npm start
- Open your web browser and navigate to http://localhost:3000 to access the Health Genie AI Chatbot.
We welcome contributions from the community! If you'd like to contribute to the Health Genie AI Chatbot project, please follow these steps:
- Fork the repository.
- Create a new branch for your feature or bug fix.
- Make your changes and commit them with descriptive messages.
- Push your changes to your forked repository.
- Submit a pull request to the main repository.
Please ensure that your code adheres to our coding standards and includes appropriate tests.
This project is licensed under the MIT License.
For any questions or inquiries, please contact the project maintainers at aman0hata@gmail.com.