Big ideas.
Real code.
Powered by AI.

From an idea to the classroom

WANNA received second place in the Learning Support Software category at the National Software Contest 2026. The platform has been used in real teaching and learning.

How I used Codex

OpenAI Codex helped me explore ideas, plan the software, write code, and connect its AI systems. It supported publishing the live website, integrating the database, and connecting the AI model our team developed.

Beyond coding, I used Codex to summarize results and plan the next stage of development.

Inside the platform

Motion tracking analyzes hand and body positions to guide dance practice. Learners receive visual, text, and audio feedback, while progress tracking helps teachers follow their learning.

Thai-language report. This preview contains only the first 12 pages in the original PDF order.

The recognition

Our team was selected as a Junior Student Finalist at the Thailand ICT Awards (TICTA) 2025.

Built with Unity, C# & LLM APIs

I developed the game in Unity with C#, using APIs to connect its interactive experience with large language model technology.

How I used AI

I used AI throughout development: planning the project, writing code, finding bugs, and checking software quality. As Main Developer, I brought these tools into the workflow to turn our concept into a working game.

Unity, C# & an AI-assisted workflow

I built the game with Unity and C#. My development workflow also used APIs and LLM-based AI tools to support planning, code generation, debugging, and quality checks.

Designing the fear

I used AI to plan the horror experience and shape its atmosphere. AI generated 100% of the code behind the game and helped me fix bugs and check the implementation.

Released for people to play

I published the game for free on itch.io, where players could try it and share feedback. It became a way to learn from a real audience beyond the development process.