CLIF (Communicative Learning Intelligent Friend) facilitates communication for mute and deaf individuals. By leveraging computer vision and machine learning, CLIF interprets sign language gestures captured by a camera in real-time. It then translates these gestures into text and speech, which are relayed through a speaker and LCD. This device bridges the barrier between signed language and spoken language, empowering individuals with hearing and speech impairments to engage more frequently with others.
Link to Devpost: https://devpost.com/software/clif-cj1ql7?ref_content=my-projects-tab&ref_feature=my_projects
Software:
- C++
- Python
- OpenCV
- MediaPipe
- Scikit-Learn
Hardware:
- Arduino Uno
- Wireless Speaker
- LCD
None! CLIF runs entirely on its own, as long as it is connected to a power source.
CLIF requires no additional programs to be installed. Simply turn on the device and watch it go to work.
Charles Eret, Brandon Kong, Omer Sajid, Shawn Yang, Sean Zhang