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doctor_appointment

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A mobile application built with Flutter that enables patients to schedule medical appointments, receive medication reminders, and efficiently manage their health records.

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# Doctor Appointment Booking App

A mobile application built with Flutter that enables patients to schedule medical appointments, receive medication reminders, and efficiently manage their health records.

![Screenshot 2025-02-11 232848](https://github.com/user-attachments/assets/9fb180e7-b621-4f43-beaa-1729b7e5b5b6)

## Features

- **Appointment Scheduling**: Book doctor appointments in advance.
- **Medication Reminders**: Get notifications for medication intake.
- **User Management**: Patients and doctors can manage their profiles.
- **Online Payments**: Secure payment processing for appointments.
- **Electronic Medical Records**: Access and track medical history.
- **Real-time Chat**: Communicate with doctors via messaging.

## Technologies Used

### Frontend
- Flutter (Dart)

### Backend
- [Booking Appointment Api](https://github.com/phanluonghuy/BookingAppointment_Api) (Node.js, Express.js, TypeScript)
- MongoDB (Database Management)
- JWT Authentication (Security)

### Admin Panel
- [Doctor Admin](https://github.com/phanluonghuy/doctor_admin) (Flutter, Dart)

### Deployment
- Docker (Containerization)
- Digital Ocean VPS (Backend Hosting)
- Cloudinary (Media Storage)
- Nginx (Reverse Proxy)

## Installation Guide

### Prerequisites
- Flutter SDK
- Node.js and npm
- MongoDB

### Steps
1. Clone the repository:
   ```sh
   git clone https://github.com/phanluonghuy/doctor_appointment.git
   ```
2. Install dependencies:
   ```sh
   cd doctor_appointment
   flutter pub get
   ```
3. Run the Flutter app:
   ```sh
   flutter run
   ```

## API Documentation

The backend provides RESTful APIs to manage appointments, payments, and user interactions. Detailed API documentation is available via Postman.

## Security & Performance Measures
- HTTPS encryption for secure communication.
- JWT authentication for API security.
- Dockerized deployment for scalability and reliability.

## System Architecture

![SystemArchitecture](https://github.com/user-attachments/assets/fb1d9f01-5951-4504-a9e3-c1efac5e29d5)

## Database Structure

![DatabaseStructure](https://github.com/user-attachments/assets/424abf60-ccd8-4db6-99bb-ea410945cad8)

## Future Enhancements
- Multilingual support
- Video call functionality
- AI-powered medical recommendations

## Contributors
- **Nguyen Huynh Phuong Toan**
- **Phan Luong Huy**

## Project Screenshots

## License
This project is licensed under the MIT License.

doctor_appointment

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