Psychology Platform - Professional Support System

A comprehensive web platform designed for psychologists providing scientific article access, real-time communication, and AI-powered patient text analysis capabilities.

🎯 Overview

This platform serves as a centralized hub for psychology professionals, offering:

• Scientific Article Repository: Access to psychology-related research and publications
• Live Chat System: Real-time communication between psychologists
• AI Text Analysis: Sentiment analysis of patient texts using Azure AI services
• Professional Integration: Seamless workflow integration for psychological practice

🏗️ Architecture

The application is built on a microservices architecture deployed on Kubernetes, featuring:

Core Components

• CMS Layer: Vveb CMS (4 replicas) - Content management for articles and site content
• Chat System: Python + Nginx backend (3 replicas) with Vue.js frontend (1 replica)
• AI Application: Vue.js frontend (1 replica) with Azure AI integration
• Data Storage: MongoDB and Redis for chat system, MySQL for CMS, Azure Blob Storage and SQL Database for AI application

Technology Stack

• Frontend: Vue.js for interactive components
• Backend: Python with WebSocket support, Nginx reverse proxy
• CMS: Vveb Content Management System
• Databases:
  • MongoDB for chat message storage
  • Redis for chat session management and caching
  • MySQL for CMS content management
  • Azure SQL Database for AI analysis metadata
• AI Services: Azure Sentiment Analysis
• Cloud Storage: Azure Blob Storage
• Container Orchestration: Kubernetes
• Containerization: Docker with multi-stage builds

🚀 Features

📚 Scientific Article Management

• Curated collection of psychology research papers
• Article categorization and search functionality
• Reading history and bookmarking system
• Professional content management through CMS

💬 Real-Time Chat System

• WebSocket-based live communication
• Message history with timestamps
• User identification and session management
• Chronological message display
• Integrated iframe embedding in main site

🤖 AI-Powered Text Analysis

• Patient text upload and processing
• Azure Sentiment Analysis integration
• Historical analysis tracking
• Secure file storage using Azure Blob Storage
• Results database with metadata tracking

Service Endpoints

• Main Website: Port 80
• Chat Backend: Port 88
• Chat Frontend: Port 90
• AI Application: Integrated via iframe

🎨 Usage

For Psychologists

1. Access Articles: Browse and read scientific publications through the CMS
2. Professional Chat: Communicate with colleagues in real-time
3. Patient Analysis: Upload patient texts for AI-powered sentiment analysis
4. Track Progress: Review analysis history and results

Administrative Features

• Content management through CMS interface
• User session monitoring
• System health monitoring via Kubernetes dashboard

📊 Monitoring & Maintenance

Health Checks

• All services include health check endpoints
• Kubernetes liveness and readiness probes configured
• Automated restart on failure

Scaling

• CMS: 4 replicas for high availability
• Chat Backend: 3 replicas for load distribution
• Frontend components: Scalable based on demand