The project aim to train a Sign Language model for generating American Sign Language (ASL) or/and British Sign Language (BSL) in real time. A model has already been implemented but we want to improve the model to make it efficient.

This will involve several different steps for the students, including:

- Analyzing the existing Sign Language model and its performance.

- Researching and implementing techniques to improve the efficiency of the model.

- Testing the improved model in real-time scenarios to ensure accuracy and speed.

- Collaborating with the development team to integrate the improved model into the existing software.

- Documenting the improvements made and providing recommendations for future enhancements.

By the end of the project, students should demonstrate:

- Understanding of the existing Sign Language model and its limitations.

- Implementation of techniques to improve the efficiency of the model.

- Testing and validation of the improved model in real-time scenarios.

- Integration of the improved model into the existing software.

- Documentation of the improvements made and recommendations for future enhancements.

Final deliverables should include:

- All source code and documentation related to the improved Sign Language model.

- A written report explaining the improvement process and outcomes.

The learner will have access to our development team for support and further work experience learning.

As well as access to mentorship from our CTO and Business Executive on how to advance their career and learning.