Doctor's Assistant AI is a real-time assistant designed to automate and accelerate doctors’ daily administrative tasks. This project aims to simplify and speed up patient consultations by instantly summarizing doctor-patient interactions, generating prescriptions, scheduling follow-ups, and providing all necessary patient information in one place. The goal is to save doctors time and improve patient care, especially in high-demand healthcare systems.

• Real-time Summarization: Automatically transcribes and summarizes patient consultations.
• Instant Prescriptions: Generates prescriptions immediately after the consultation.
• Appointment Scheduling: Schedules follow-up appointments in real time.
• Simplified Medical Information: Converts complex medical jargon into patient-friendly language.
• Centralized Patient Information: All patient details are stored in one place for easy access by healthcare providers.

The project is divided into two main parts:

• Backend: Handles data processing, AI-powered transcription, and data storage.
• Frontend: User interface for doctors to review summaries, manage patient information, and schedule appointments.

• Backend: Node.js, Express.js
• Frontend: React.js
• Database: MongoDB
• AI Processing: Machine Learning models (e.g., NLP for summarization)

Follow these steps to get the application up and running:

1. Open your terminal and navigate to the backend folder:

   cd backend

2. Install the necessary dependencies:

   npm install

3. Start the server:

   node server.js

   The backend server should now be running at http://localhost:4000.

1. In a new terminal window, navigate to the frontend folder:

   cd frontend

2. Install the necessary dependencies:

   npm install

3. Start the frontend application:

   npm start

   The frontend should now be running at http://localhost:3000.

1. Start Consultation: Doctors start a patient consultation, which is automatically recorded.
2. Real-time Processing: The AI processes the audio and generates a consultation summary, prescription, and appointment scheduling.
3. Review: Doctors can review, edit, and confirm the AI-generated information before sending it to the patient.

If you would like to contribute to this project, please fork the repository and submit a pull request. We welcome improvements, bug fixes, and suggestions!

This project is licensed under the MIT License. See the LICENSE file for details.