Transforming Doctor-Patient Conversations into Automated Medical Reports with AI Precision.
MediNote-AI is an AI-powered web application designed to streamline healthcare documentation by converting doctor-patient conversations into structured, comprehensive medical reports. By leveraging advanced speech-to-text technology and natural language processing (NLP) with models like GPT-4, MediNote-AI assists healthcare professionals in generating accurate prescriptions, dietary recommendations, and care instructions while storing data securely for future reference.
This project was developed during HackVerse 5.0 to empower doctors and medical institutions with a smarter, faster, and error-free approach to patient management.
- Real-time conversion of doctor-patient conversations into detailed medical reports.
- AI extracts patient information, symptoms, medications, and care instructions.
- Patient details and contact information.
- Prescription summaries with dosage instructions.
- Dietary plans and wellness recommendations.
- Health metrics (BMI calculations, diabetes risk, etc.).
- Patient history stored in a structured JSON database for easy access.
- Automatic retrieval of previous health records for continuity of care.
- Real-time speech recognition for seamless conversation analysis.
- Multi-language support (English, Tamil, Hindi) for diverse patient bases.
- Clean, intuitive UI designed for doctors with minimal technical knowledge.
- Mobile-responsive design for accessibility from multiple devices.
- Data privacy with secure data handling and storage.
- Compliance with healthcare standards for patient data security.
- HTML, CSS, JavaScript – Clean, responsive design.
- Lucide Icons for enhanced visual representation.
- Python (Flask) – Lightweight backend for data processing.
- MongoDB & JSON Storage – For secure and efficient patient data storage.
- Threading in Python – For concurrent recording and report generation.
- OpenAI's GPT-4 – For advanced natural language processing.
- SpeechRecognition Library – For converting audio to text.
- Doctor initiates the recording using the MediNote-AI web app.
- Real-time audio capture is converted into text using SpeechRecognition.
- AI extracts critical data like symptoms, prescribed medications, and care instructions.
- The system generates a PDF report containing:
- Patient details.
- Prescriptions with dosage.
- Dietary plans and care instructions.
- Patient data is stored securely in a JSON database.
- Patient records can be accessed anytime using phone number lookup.
Healthcare professionals often face:
- Manual data entry challenges leading to errors and inefficiency.
- Time-consuming documentation processes during consultations.
- Inconsistent record-keeping, affecting long-term patient care.
MediNote-AI solves these issues by:
- Automating prescription generation and patient record management.
- Reducing administrative workload for doctors.
- Providing faster access to patient history for better care decisions.
MediNote-AI can be used in:
- Hospitals & Clinics for real-time documentation during consultations.
- Telemedicine Platforms for remote patient monitoring and reporting.
- Health Camps for faster data collection and reporting.
- Medical Education as a tool for teaching efficient patient documentation.
While building MediNote-AI during HackVerse 5.0, we encountered several technical challenges:
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Session Management Issues:
- Difficulty maintaining patient sessions across multiple servers.
- Resolved using cross-server API communication and improved session handling.
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Version Control Conflicts:
- Running multiple servers simultaneously caused API conflicts.
- Fixed using cross-origin resource sharing (CORS) for better synchronization.
-
Paid API Access:
- Initial reliance on premium AI models increased complexity.
- Balanced by combining open-source tools with premium APIs only for critical tasks.
MediNote-AI embodies innovation and impact, fitting into the HackVerse Grand Prize Track by:
- Leveraging Generative AI for a real-world healthcare solution.
- Improving efficiency in a critical domain—healthcare.
- Demonstrating technical depth with real-time AI integration.
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MediNote-AI directly addresses the Vital Vault Healthcare Track by:
- Automating medical documentation, reducing errors.
- Enhancing patient care through personalized care instructions.
- Providing secure data handling to protect sensitive medical information.
MediNote-AI fits the Product Design Track by:
- User-Centric Design: Intuitive UI for both doctors and staff.
- Functional Simplicity: Minimal steps for recording and report generation.
- Visual Clarity: Clean report layouts for easy readability.
MediNote-AI utilizes AI-driven automation for real-world problem-solving, aligning with the Plotch.ai track through:
- AI-Generated Insights: Extracting critical data from conversations.
- Real-Time Processing: Instant data analysis and reporting.
- Scalability: Designed to support multiple patients and clinics.
Login Page:
Patient Analysis:
Prescription Preview:
- Siddharth Magesh – AI Engineer & Backend Developer
- Pranesh Kumar – Full-Stack Developer
- Mohamed Yasir – UI/UX Designer
# Clone the repository
git clone https://github.com/your-repo/MediNote-AI.git
# Navigate into the directory
cd MediNote-AI
# Install dependencies
pip install -r requirements.txt
pip install -r input_requirements.txt
# Run the server
python app.py
# Run Second server
python input.pyAccess the web app at: http://localhost:5000
- EHR Integration: Compatibility with electronic health records for broader usage.
- Multi-Language Support: More language options for diverse patient groups.
- Mobile App Development: Expanding to a mobile-friendly version for on-the-go usage.
We welcome contributions! Feel free to submit issues or pull requests on our GitHub Repo.
This project is licensed under the MIT License. See the LICENSE file for details.
For inquiries, please contact:
- 📩 Email: support@medinoteai.com
- 🌐 Website: www.medinoteai.com
Empowering Smarter Healthcare with AI – MediNote-AI