Sanjeevan
Our web app lets speech-impaired users communicate via video using hand signs. It accurately interprets signs in realtime.
Created on 7th April 2024
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Sanjeevan
Our web app lets speech-impaired users communicate via video using hand signs. It accurately interprets signs in realtime.
The problem Sanjeevan solves
Facilitated Communication:Enables speech-impaired individuals to engage in real-time conversations via video calls, overcoming communication barriers.
Enhanced Accessibility: Provides a platform for speech-impaired individuals to communicate effectively with others, fostering inclusivity and accessibility.
Independence: Empowers users to express themselves autonomously without relying on traditional speech-based communication methods.
Efficiency: Streamlines communication processes for speech-impaired individuals, making exchanges smoother and more efficient in various contexts, such as personal or professional settings.
Innovation: Harnesses advanced machine learning technology to interpret hand signs accurately, showcasing the potential of AI in improving the lives of individuals with disabilities.
Challenges we ran into
One of the significant challenges we faced was the integration of our AI model with the frontend components of our project. Despite trying various techniques such as FastAPI, web sockets, and Flask, we encountered persistent issues, particularly in managing multiple web sockets simultaneously. Despite our efforts, the error persists, hindering seamless connectivity between the AI model and the frontend. To address this, we're intensifying our debugging efforts, seeking guidance from experts, and exploring alternative integration methods. We remain committed to resolving this issue to ensure the smooth functioning of our application and enhance the communication experience for speech-impaired individuals.