Project Overview:

The project aims to integrate a sign language detection system with Google Assistant, enabling it to recognize and interpret sign language gestures in real-time. This integration will make Google Assistant accessible to the deaf and hard of hearing community, providing a more inclusive and interactive experience. The system will utilize mobile vision and machine learning techniques to detect and interpret sign language, translating it into text or spoken language that Google Assistant can understand and respond to.

Objectives:

1. Develop a mobile vision model capable of detecting and interpreting sign language gestures in real-time.

2. Integrate the sign language detection system with Google Assistant to enable sign language interactions.

3. Ensure high accuracy and speed in sign language recognition to provide a seamless user experience.

4. Test the system with native sign language users to refine and improve its performance.

Expected Outcomes:

• A fully functional sign language detection system integrated with Google Assistant.

• Increased accessibility of Google Assistant for the deaf and hard of hearing community.

• Enhanced user experience through real-time sign language recognition and response.

Potential Challenges:

• Ensuring high accuracy and speed in sign language recognition.

• Handling diverse sign language gestures and variations.

• Integrating the system seamlessly with Google Assistant's existing functionalities.

Future Enhancements:

• Expanding the sign language vocabulary supported by the system.

• Incorporating multi-language support for different sign languages.

• Improving the system's adaptability to different user preferences and needs.

This project has the potential to significantly enhance the accessibility of digital assistants, making technology more inclusive and beneficial for a wider range of users.