Bharat in Betastartup field guide
← Back to the atlas
No. 1165Problem statementHealth and wellbeing

Capturing Non-manual features of Indian Sign Language and converting it into text

Source

Source summary

Develop real-time recognition of Indian Sign Language's non-manual features, including facial expression, head movement and posture, and convert them to context-sensitive text. Build representative data including regional variation, handle diverse lighting/backgrounds and integrate with existing ISL translation. Provide an accessible interface for signers and learners and offline operation. The aim is to retain meaning beyond hand signs, with accuracy and responsiveness to be tested.

No. 1074Problem statementHealth and wellbeing

Learning App for Deaf And Mute and sign language-English/Gujarati converter

Build a learning and communication app for deaf and speech-impaired students in Gujarat, retaining the ISL/Gujarati focus. Teach Gujarati letters, numbers, words and sentences with handwriting practice; include arithmetic, science sign tutorials, exercises and report cards. Translate Gujarati text/news and speech into signs and support reverse communication. Teachers, learners, parents unfamiliar with signing and company HR are named users.

No. 1162Problem statementHealth and wellbeing

AI tool/mobile app for Indian Sign language(ISL) generator from audio-visual content in English/Hindi to ISL content and vice-versa

Create an AI tool or mobile app translating English/Hindi audiovisual information into ISL and supporting interpretation in the reverse direction. The proposed approach combines speech recognition, language processing and vision, generates signs in real time and accounts for regional ISL variation. Examples include translating railway announcements/displays into signs and using a phone camera to help nonsigners understand a signer. Accuracy and ease of use are explicit goals.

No. 1163Problem statementHealth and wellbeing

Indian Sing Language to Text/Speech translation

Develop real-time Indian Sign Language recognition producing both text and speech in multiple Indian languages. Cover a broad ISL sign/gesture vocabulary to support communication between deaf or hard-of-hearing people and hearing users. The source specifies translation scope but no particular implementation or numerical accuracy target.