Bharat in Betastartup field guide
← Back to the atlas
No. 1280Problem statementHealth and wellbeing

Patient Case-Taking Software

Source

Source summary

MediKiosk proposes patient-led clinical intake through multilingual voice and touchscreen interaction before consultation, including Ayurvedic history fields where relevant. It should digitize prior medical documents into a timeline, flag urgent concerns for staff and produce a structured draft that physicians can accept, edit or reject. ABHA/HIS integration through FHIR, granular revocable consent, accessible audio guidance and clearing temporary session data are requested. It is history-taking support, explicitly not autonomous diagnosis; one referenced source table is absent.

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.