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https://github.com/mahmood-anaam/nextjs-depression-diagnoser
Depression Diagnoser is a web application that assesses and diagnoses depression levels through user responses and facial expression analysis, providing a personalized evaluation.
https://github.com/mahmood-anaam/nextjs-depression-diagnoser
face-api-js nextjs nodejs nodemailer prsima react-speech-recognition tailwindcss
Last synced: 18 days ago
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Depression Diagnoser is a web application that assesses and diagnoses depression levels through user responses and facial expression analysis, providing a personalized evaluation.
- Host: GitHub
- URL: https://github.com/mahmood-anaam/nextjs-depression-diagnoser
- Owner: Mahmood-Anaam
- Created: 2024-08-23T19:38:40.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2024-08-25T21:28:46.000Z (4 months ago)
- Last Synced: 2024-10-25T15:26:53.278Z (2 months ago)
- Topics: face-api-js, nextjs, nodejs, nodemailer, prsima, react-speech-recognition, tailwindcss
- Language: JavaScript
- Homepage: https://nextjs-depression-diagnoser.vercel.app
- Size: 8.7 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Depression Diagnoser
[](https://nextjs-depression-diagnoser.vercel.app/)
Depression Diagnoser is an advanced web application designed to assess and diagnose the levels of depression in users. By analyzing user responses and facial expressions, the app provides a personalized evaluation of the user's mental health and offers options for seeking professional help.
## Features
- **User Authentication**: Secure sign-up, sign-in, and password recovery functionality to protect user accounts.
- **Interactive Questionnaire**: Users answer a series of questions designed to evaluate their mental state.
- **Facial Expression Analysis**: Uses face-api.js to detect and analyze facial expressions during the questionnaire.
- **Real-time Speech Recognition**: Users can answer questions using voice commands, with responses recognized and processed instantly.
- **Dynamic Results**: Based on user inputs and expressions, the app calculates and displays the depression level.
- **Consultation Booking**: Users can book consultations with mental health professionals directly through the app.
## Demo
Try the live version of the app here: [Depression Diagnoser](https://nextjs-depression-diagnoser.vercel.app/)
## Getting Started
### Prerequisites
- Node.js and npm installed
- PostgreSQL database
### Installation
1. **Clone the repository**:
```bash
git clone https://github.com/Mahmood-Anaam/nextjs-depression-diagnoser.git
cd nextjs-depression-diagnoser
```
2. **Install dependencies**:
```bash
npm install
```
3. **Set up environment variables**:
Create a `.env` file in the root directory and add the following environment variables:
```bash
DATABASE_URL=your_database_url
JWT_SECRET=your_jwt_secret
NODE_ENV=development
SMTP_HOST=your_smtp_host
SMTP_PORT=your_smtp_port
SMTP_USER=your_smtp_user
SMTP_PASS=your_smtp_pass
```
### Environment Variables
- `DATABASE_URL`: Connection string for the PostgreSQL database.
- `JWT_SECRET`: Secret key for JWT authentication.
- `NODE_ENV`: Defines the environment (development or production).
- `SMTP_HOST`: Hostname of the SMTP server for sending emails.
- `SMTP_PORT`: Port used by the SMTP server.
- `SMTP_USER`: Username for SMTP authentication.
- `SMTP_PASS`: Password for SMTP authentication.
### Running the App
Start the development server:
```bash
npm run dev
```
The app will be running on `http://localhost:3000`.
## Technologies Used
- **Next.js**: A React framework for server-side rendering and static site generation.
- **Tailwind CSS**: A utility-first CSS framework for styling.
- **Prisma**: A modern ORM for database interaction in Node.js.
- **Face-api.js**: A library for face detection and facial expression recognition.
- **React Speech Recognition**: A library for integrating speech recognition into React apps.
- **Nodemailer**: A Node.js module for sending emails.