Self-Development App Backend

Overview

This backend powers an advanced AI-driven self-development app named "Self". The app engages users in meaningful conversations using a LLM chatbot, facilitating self-exploration, positive psychology, goal setting, habit formation, and more through various frameworks and tasks.

Technology Stack

• Framework: NestJS
• Databases:
  • MySQL (for relational data: user core data, sessions, categories)
  • MongoDB (for non-relational data: user goals, values, limiting beliefs, etc.)
• Language Model Integration: Modular LLM service for generating human-like conversations
• Authentication: JWT-based authentication
• API: RESTful API endpoints

Project Structure

src/
├── config/               # Configuration files
├── core/                 # Core modules
│   ├── auth/             # Authentication module
│   ├── users/            # User management
│   ├── chat/             # Chat functionality
│   ├── sessions/         # Session management
│   └── llm/              # LLM integration
├── common/               # Shared utilities, guards, and interceptors
├── database/             # Database configurations and migrations
└── main.ts               # Application entry point

Key Features

1. LLM-Powered Conversations: Custom prompts guide the LLM to facilitate meaningful interactions across various self-development topics.

2. Dual Database System:

   • MySQL for structured, relational data
   • MongoDB for flexible, document-based storage of user progress and insights

3. Session Management: Tracks user progress through various self-development tasks and questionnaires.

4. Event-Driven Architecture: Uses events to trigger actions based on LLM responses, updating databases and user states.

5. Internationalization: Supports multiple languages for a global user base.

6. Secure Authentication: Implements JWT-based authentication for user security.

Getting Started

API Documentation