Project Overview

This Bachelor's thesis implements an AI-Powered Skill Assessment Chatbot designed for volunteer platforms. It identifies user qualifications using the ESCO and Freiwilligenpass competency frameworks through natural language conversations. The system features real-time skill extraction, dual competency models, persistent data storage, and advanced visualization capabilities to provide comprehensive skill profiles.

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Advanced AI Integration

Utilizes cutting-edge language models for natural, context-aware conversations with intelligent response generation.

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User Management

Comprehensive user authentication and session management system with persistent chat histories.

Skill-Based Architecture

Modular skill system allowing the chatbot to perform specific tasks and provide specialized responses.

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Real-time Communication

WebSocket-based real-time messaging for instant response delivery and seamless user experience.

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Secure Backend

FastAPI-powered backend with robust database integration and secure API endpoints.

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Data Management

Sophisticated database schema for managing users, messages, chat sessions, and skill configurations.

Technical Architecture

The system is built using a modern tech stack that ensures scalability, maintainability, and performance:

  • Backend: FastAPI with Python for high-performance API development
  • Database: SQLModel/SQLite for data persistence and relationship management
  • AI Integration: Custom LLM wrapper classes for flexible model integration
  • Real-time Communication: WebSocket protocol for instant messaging
  • Frontend: Clean HTML/CSS/JavaScript for user interface
  • Environment Management: UV package manager for Python dependencies

Research Focus

This Bachelor Thesis explores several key areas in conversational AI and system architecture:

  • Integration patterns for large language models in web applications
  • Skill-based chatbot architectures for specialized task handling
  • User session management in conversational AI systems
  • Real-time communication protocols for chat applications
  • Database design for conversational AI data persistence
  • Scalable backend patterns for AI-powered applications