HealthExpress - AI Doctor Support App HealthExpress is an innovative AI-powered healthcare assistant designed to improve accessibility to medical care in underserved and high-population areas. By lightening doctors' workloads and accelerating the consultation process, HealthExpress brings faster, smarter healthcare to those who need it most.
Inspiration In many parts of the world, especially in third-world countries, large populations and a shortage of medical professionals make healthcare access challenging. HealthExpress was built to tackle this issue by leveraging AI to provide faster, more efficient support for patients and healthcare providers.
Features AI Symptom Collection: Engages patients via voice calls to collect detailed symptom information. Symptom Reports: Creates comprehensive health summaries, including key risks and medical details, for doctors. Streamlined Workflow: Enables doctors to focus on diagnosis with precompiled patient data. 🤖 AI Symptom Checker: Analyze symptoms and receive preliminary diagnoses. 📊 Health Analytics: Personalized reports and insights to track your health progress. 🩺 Doctor Support: Streamline communication between patients and healthcare providers. 🚑 Emergency Assistance: Quick access to emergency contact details and first-aid guidance.
Technologies Used:
Machine Learning: For symptom analysis and health predictions.
Natural Language Processing (NLP): To provide intuitive and accurate interactions.
React.js and Node.js: For a seamless user interface and backend functionality.
PostgreSQL: For secure and reliable data storage.
How It Works
Voice Interaction: Patients share symptoms via phone calls powered by Twilio.
AI-Powered Understanding: HealthExpress uses OpenAI for natural language processing to generate relevant follow-up questions.
Secure Database: Patient data is securely stored in Firebase.
Doctor Dashboard: A Flask-based frontend provides doctors with clear, actionable reports.
Technology Stack
Backend: Python, Flask
Frontend: Flask Web Application
AI: OpenAI for natural language processing
Telephony: Twilio for patient interactions
Database: Firebase for secure storage
Deployment: Hosted on cloud infrastructure
Installation
Clone the repository:
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git clone https://github.com/yourusername/HealthExpress.git
cd HealthExpress
Install dependencies:
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pip install -r requirements.txt
Configure environment variables for Twilio, Firebase, and OpenAI API keys.
Start the server:
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python app.py
Access the app at http://localhost:5000.
Future Plans
Multi-Language Support: Expanding accessibility for non-English speaking users.
Symptom Recognition: Training the AI on a wider range of health conditions.
Integration with Healthcare Providers: Collaborating with professionals to refine and validate the platform.
Contributing
We welcome contributions to make HealthExpress even better! Please submit pull requests or open issues to share your ideas and feedback.
License This project is licensed under the MIT License.
Empowering healthcare, one call at a time! 🚀