React
NestJS
PythonService for automatic analysis of student behavior for effective monitoring and improved learning quality, with flexible analysis criteria configuration.
Built at the "Digital Breakthrough" regional hackathon in the Central Federal District and won the "Teaching Quality Analysis" case
Technical highlights
- Open-source Llama 3 LLM running on CPU
- Flexible user-configurable analysis criteria
- Admin hypothesis testing based on various metrics
My role in the project
- NestJS backend development
- Part of the frontend application
- Solution analytics and research
- System design participation
- ML component integration for text analysis