Welcome to the official repository hub for our comprehensive mental health support platform. This full-stack web application is designed to help users access personalized psychological care through intelligent tools, virtual consultations, and expert guidance.

Our platform aims to reduce the stigma around mental health by offering a secure and user-friendly digital space for people of all ages to monitor their mental well-being and connect with certified professionals—whether in urgent need or for ongoing therapy.

• Frontend: A React-based web interface that allows users to sign up, book sessions, complete assessments, and connect with specialists.
• Backend: A Django-based RESTful API that handles user management, appointment scheduling, test result processing, and AI-driven emotional analysis.

• User registration and login
• Mental health assessments with saved results
• Therapist recommendation engine
• Appointment scheduling and calendar view
• Real-time virtual consultation via Google Meet
• Emergency contact support (e.g., panic attack handling)
• AI-powered emotional chat analysis
• Reminder system via Telegram Bot
• Blog posts for mental well-being and stress-relief exercises

• Psychologist onboarding and verification
• Personalized dashboard with patient history
• Access to test results and session notes
• Availability scheduling
• Patient management and chat history review

• Framework: Django
• Database: PostgreSQL
• Caching & Queue: Redis
• Containerization: Docker
• CI/CD: GitHub Actions

• Framework: React.js
• Styling: HTML, CSS
• API Communication: Axios / Fetch

To run the platform locally:

git clone https://github.com/your-org/frontend.git
git clone https://github.com/your-org/backend.git

• Frontend Setup Guide
• Backend Setup Guide

Each contains instructions on installing dependencies, environment variables, Docker usage, and more.

[ React Frontend ]
        ↓
 [ Django REST API ]
        ↓
[ PostgreSQL + Redis ]
        ↓
[ AI Emotional Analysis + Google Meet + Telegram Bot ]

Below are some enhanced pictures of the project:

You can find the actual presentation for the project at the link below:

📁 Project Presentation Folder on Google Drive

• Zahra Dehghan
• Helia Shamszadeh
• Zahra Abbasgholi
• Fatemeh Sharhdehi

• Zahra Alizadeh
• Asma Hamid
• Zeinab Baghiyan

We're open to collaboration and feedback! Please open issues or pull requests in the respective repositories.