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    We need a highly accurate deep-learning model that translates Indian Sign Language (ISL) sentence-level gestures into English sentences in real time. The key outcome is maximum translation accuracy with the lowest possible latency, and a design that remains practical and scalable after hand-off. Key Points: Input: Live video from a camera feed or landmark data from MediaPipe/OpenPose. Output: English word or phrase predictions rendered directly on a simple web page in real time. Platform: Web/Mobile platform deployment. Scope: Deliver a working proof-of-concept with clear, commented code, minimal UI, and easy-to-follow setup instructions so the system can be tested end to end. Model: Transformer-based architecture for sentence-level translation, optimized for real-time inference. Da...

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