VMentor is a small full-stack web application designed to explore how AI-assisted functionality can support mentoring, guidance, and learning experiences.
This project is part of my journey as a Junior Full-Stack Software Engineer, focusing on connecting frontend user interfaces with backend logic and AI-enabled features.
The goal of VMentor is to provide users with a simple and clear interface where they can receive guidance and text-based support powered by AI.
The project emphasizes:
- Clean and understandable frontend design
- Clear backend logic and data flow
- Practical experimentation with AI-assisted features
- HTML
- CSS
- JavaScript
- Python
- Basic application logic and data handling
- Generative AI fundamentals
- Prompt-based text assistance
- Introductory experimentation with AI-supported responses
- Git & GitHub
- VS Code
- User-facing interface for interaction and guidance
- Backend logic to manage application flow
- AI-assisted text support to enhance the mentoring experience
- Modular and readable code structure
This project helped me practice:
- Full-stack thinking (frontend ↔ backend integration)
- Structuring small web applications
- Using Git for version control and iterative development
- Understanding how AI functionality can be integrated into real applications
This project is under active development and continuous improvement as part of my full-stack learning path.
Ahmadreza Pakraei
Junior Full-Stack Software Engineer
Focused on AI-assisted web applications
📍 Aarhus, Denmark