MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541112306 A) filed by New Prince Shri Bhavani College Of Engineering And Technology; Arunkumar S; Justin A; Manikaraj K; and Dr. R Ahila, Chennai, Tamil Nadu, on Nov. 17, 2025, for 'deepbridge: connecting autism screening & sign language using unified cnn framework.'

Inventor(s) include Arun Kumar S; Justin. A; Manikaraj. K; and Dr. R. Ahila.

The application for the patent was published on Jan. 9, under issue no. 02/2026.

According to the abstract released by the Intellectual Property India: "This project introduces an innovative, software-based solution designed to revolutionize support for neurodiverse individuals by addressing two o f the most significant challenges they face: communication barriers and the need for early intervention. Utilizing advanced computer vision and deep learning, the system uniquely and seamlessly integrates real-time sign language translation with an early autism detection framework. The core functionality is twofold: first, it interprets complex hand gestures and body movements in real-time to facilitate a fluid and intuitive communication channel for the speech-impaired. This feature is designed to provide immediate feedback, enabling more natural and spontaneous conversations. Simultaneously, the system continuously and non-intrusively analyzes subtle behavioral cues, such as repetitive motions, specific gaze patterns, and variations in facial expressions, to identify potential autism traits. Beyond initial detection, the solution provides a robust and personalized support framework. It leverages the data collected to generate tailored, data-driven educational tips and actionable strategies designed to foster developmental growth and improve daily interactions. These insights are delivered in a way that empowers caregivers, educators, and family members with the knowledge and tools they need to better support the neurodiverse individual. Built using powerful, open-source, and accessible technologies like Python and OpenCV, this affordable and scalable solution aims to bridge critical communication gaps and promote early intervention, ultimately creating a more inclusive environm."

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