Russian Sign Language learning service with gesture recognition for practice. Includes levels, achievements, custom training sessions, and a full learning path.
Built as part of the "Project Practicum" course by 2nd–3rd year students at Ural Federal University named after the first President of Russia B. N. Yeltsin
Service features
- Multi-level sign learning with progression
- Knowledge checks via gesture recognition through the camera
- Sign dictionary
- Custom training and course creation
- Levels, achievements, and progress statistics
- Theory materials and practical exercises
My role in the project
- Learning service architecture design
- User journey and progress system design
- Frontend-backend interaction schema
- API for gesture recognition model integration
- Levels, assignments, and progress tracking implementation
- Gesture recognition block integration into the learning flow