Contact person: Business Client

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Location: Miraj, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I need a highly accurate deep-learning model that translates Indian Sign Language (ISL) sentence-level gestures into English sentences in realtime. 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 realtime.
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.
Data: You may leverage publicly available Indian Sign Language Sentence Level datasets.
Deadline: ASAP — please outline a realistic schedule for an initial demo and a final hand-off.

Factors to consider for this sentence level model - Practicality, Scalability, Accuracy, Performance and Lowest Latency as it will be production level model.

If you have prior sign-language projects — especially keypoint-based pipelines or sign-language translation models — please mention them; proven experience will be prioritized." (client-provided description)