Mediconnect

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.

Features

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.

Project Structure

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.

Tech Stack

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

Installation and Running the Application

Follow these steps to get the application up and running:

1. Backend Setup

Open your terminal and navigate to the backend folder:
```
cd backend
```
Install the necessary dependencies:
```
npm install
```
Start the server:
```
node server.js
```
The backend server should now be running at http://localhost:4000.

2. Frontend Setup

In a new terminal window, navigate to the frontend folder:
```
cd frontend
```
Install the necessary dependencies:
```
npm install
```
Start the frontend application:
```
npm start
```
The frontend should now be running at http://localhost:3000.

Usage

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

Contributing

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!