🎓 AiDA Learn

The LMS that adapts to you.

AiDA (Artificial Intelligence Digital Assistant) is an enterprise-grade Learning Management System being built to use Generative AI for real-time personalized tutoring.

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🏗️ System Architecture

AiDA follows a Domain-Driven Design (DDD) approach with a clear separation of concerns.

graph TD
    User((User)) -->|HTTPS / JSON| API_Gateway["API Gateway / Controller"]
    
    subgraph "Core Backend (Spring Boot)"
        API_Gateway -->|Validate Token| Security["Security Config (Stateless)"]
        Security -->|Authorized| Service["Learning Service"]
        Service -->|Read/Write| Repository["JPA Repository"]
    end
    
    subgraph "Data Persistence"
        Repository <-->|JDBC| DB[("PostgreSQL")]
        DB <-->|Cache| Redis[("Redis Cache")]
    end
    
    subgraph "AI Integration"
        Service -->|Prompt Engineering| AI_Client["OpenAI Service"]
        AI_Client <-->|REST| GPT["OpenAI API"]
    end

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🛠️ Tech Stack

Component	Technology	Description
Language	Java 21	Utilizing Records, Pattern Matching, and Virtual Threads.
Framework	Spring Boot 3.2	Rapid backend development with Dependency Injection.
Database	PostgreSQL	Relational data integrity for user and course management.
Security	Spring Security 6	OAuth2 Resource Server & JWT Authentication.
AI Engine	OpenAI GPT-4	Dynamic quiz generation and context-aware tutoring.
Container	Docker	Consistent deployment across environments.

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💡 Key Features (In Progress)

🔐 Secure Authentication

• Implementation of JWT (JSON Web Tokens) for stateless session management.
• Role-Based Access Control (RBAC) distinguishing between STUDENT, INSTRUCTOR, and ADMIN.

🤖 Generative AI Tutor

• Dynamic Quiz Generation: System analyzes course text and generates 5 unique questions on-the-fly.
• Explanation Engine: Uses RAG (Retrieval-Augmented Generation) to explain incorrect answers to students.

⚡ High Performance

• Leveraging Java 21 Virtual Threads for high-throughput concurrency handling.
• Optimized SQL queries using Hibernate/JPA projections.

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Chat Feature

• Secure AI chat available only to authenticated users
• Protected by Spring Security
• Fully tested (backend + frontend)

🚀 Roadmap

• Initial Project Setup & Docker Configuration
• Database Schema Design (PostgreSQL)
• Implement Spring Security Filter Chain
• Connect OpenAI API Client
• Build Frontend Dashboard (React)

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Created by Elchibek Dastanov