Inspiration
Mute Individuals and their Families:
Mute individuals and their families are the primary beneficiaries. Our solution provides them with a reliable means to communicate symptoms, ensuring they receive accurate diagnoses and appropriate medical care, reducing frustration and improving their overall healthcare experience.
What it does
Real-Time Video Detection:
Gesture Recognition: Implement advanced computer vision techniques to recognize sign language gestures in real time. Utilize deep learning models to identify intricate hand movements and expressions accurately.
How we built it
Build a real-time video detection and instant diagnosis solution using IBM LinuxONE, first, set up the LinuxONE environment with a compatible Linux distribution. Install essential software components like Python, OpenCV, and machine learning frameworks. Develop the system to capture real-time video frames and employ computer vision algorithms to recognize sign language gestures. Implement machine learning algorithms for instant diagnosis, integrating them seamlessly and ensuring effective communication between modules.