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.

Challenges we ran into

Accomplishments that we're proud of

What we learned

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