telemedicine-website

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telemedicine-website

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A Real-time video call consultations platform between doctors and patients.

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# Real-Time Doctor-Patient Consultations Website

This project is a Real-Time Doctor-Patient consultations website designed to facilitate secure, real-time text-based consultations between doctors and patients. With a focus on simplicity and ease of use, the website allows patients and doctors to engage in private, secure conversations without the need for in-person visits, leveraging modern web technologies.

**Live Website**
You can try the website live at: [Live Website Link](https://bucolic-malabi-07ed64.netlify.app)

## Table of Contents

- [Features](#features)
- [What's next?](#whats-next)
- [Screenshots](#screenshots)
- [Roadmap](#roadmap)
- [Technologies Used](#technologies-used)
- [Run the project](#run-the-project)
- [Contributing](#contributing)
- [License](#license)

## Features

- Real-time Secure Video Calls: Private, text-based messaging + video calls for doctor-patient communication.
- AI Doctor assistant for patients that is conversation aware and supports PDF files.
- Appointment Scheduling: Patients can book consultations with doctors, ensuring a smooth experience.
- User Profiles: Both doctors and patients have personalized profiles for storing essential information.
- Real-time Notifications: Receive notifications when your consultation is about to begin, or when a doctor is available.
- Responsive Design: Accessible on all devices, ensuring users can connect from anywhere.

### What's next?

- Add medical knowledge layer (RAG)
  Use medical sources:

- WHO
  - Mayo Clinic
  - NHS

- Safety layer (VERY important for medical AI)
  filter out:
  - emergency symptoms (chest pain, stroke signs, etc.)
  - self-harm / dangerous behavior
  - medication requests

Then override behavior:

Example rule:

If “chest pain + shortness of breath” → always recommend emergency care first

- tool use : extend it with:

- symptom checker flow (decision tree)
  - drug database lookup
  - lab value explanation tool

- . AI evaluation system (this is VERY AI-engineering heavy)

Create a test suite:

Example test cases:

chest pain
  headache
  fever
  anxiety symptoms

Evaluate:

did model suggest doctor visit?
  did it hallucinate diagnosis?
  response quality score

👉 This teaches:

LLM evaluation
  prompt testing
  regression testing for AI

- ⚠️ Safety + Triage Classifier Layer (Pre-LLM logic)
- 🧾 Structured Clinical Output Generator (Function-calling style)

## Screeshots

### Landing Page

![Home](https://github.com/user-attachments/assets/748f9eda-68bf-43ff-99e3-8b7367871bc8)

### Doctor Dashboard

![DoctorDashboard](https://github.com/user-attachments/assets/54626b4f-a8f6-42ca-9235-43862c80c9f6)

### Patient Home Page

![PatientHome](https://github.com/user-attachments/assets/da5046de-94d1-4002-bb79-e438fcb982b7)

### Book a Consultation

![BookConsultation](https://github.com/user-attachments/assets/f6129d08-d9e7-4181-a6f3-8413a33d8b71)

### Real-time Consultation

### AI Consultation

![AIConsultation](https://github.com/user-attachments/assets/366483b6-e428-4523-b7a4-9059c2740ead)

## Roadmap

- Implement video consultation functionality (coming soon).
- Integrate payment processing for paid consultations.
- Add multi-language support for international users.

## Technologies Used

- Frontend: NextJS, Shadcn
- Backend: Node.js, Express.js, MongoDB Atlas
- AI: Gemini API, Vercel AI-SDK
- Authentication: Firebase
- Real-time chat: Socket.io
- Real-time notifications: [Node Cron](https://www.npmjs.com/package/node-cron)
- Deployment: Render.com, Netlify

## Run the project

Clone the repository

```bash
git clone https://github.com/aminezouari52/telemedicine-website.git
```

Create the `.env` files

- navigate to the `apps/backend` and `apps/frontend` folders
- use `.env.example` as an example

Navigate to the directory

```bash
cd telemedicine-website
```

Use the package manager [pnpm](https://pnpm.io/) to install and run the project.

```bash
pnpm install
pnpm dev
```

## Contributing

This project is open-source, and I’m excited to collaborate with developers around the world.

Pull requests are welcome. For major changes, please open an issue first
to discuss what you would like to change.

## License

[MIT](https://choosealicense.com/licenses/mit/)

telemedicine-website

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