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This video presents Sign Bridge, an AI-based real-time sign language translation system designed to bridge communication between deaf, mute, and hearing individuals. The video is a complete PPT presentation, covering: • The real-world communication problem • Our vision and system architecture • The technical pipeline for sign language recognition • A working prototype • A live demo showing end-to-end translation 🎬 Demo Overview: In the demo section of this presentation, the signer performs three signs: Hello → I → Student Each sign is recognized individually by the AI model. The decoded sign sequence is then passed through an NLP post-processing module that reconstructs grammatical structure, resulting in the final output: “Hello, I am a student.” This demonstrates the system’s ability to: • Perform real-time sign segmentation • Recognize individual signs accurately • Convert sign grammar into fluent spoken language ⚙️ Key Features: • Web-based system (no special hardware required) • Real-time hand & pose landmark extraction • Motion-aware sign segmentation • Transformer-based sign recognition • NLP-assisted sentence formation • Designed for accessibility and scalability This project was developed by Team Dreamers as part of INNERVE X, with a focus on inclusive and accessible communication technology. Github: https://github.com/AdvityaDua Linkedin: / advitya-dua