Bharat in Betastartup field guide
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No. 1237Problem statementHealth and wellbeing

Al-Assisted Early Detection System for Osteoarthritis (OA) Risk Markers in North Eastern Region (NER)

Source

Source summary

The source requests affordable, portable AI-assisted osteoarthritis risk screening for primary health centres, rural camps and outreach in the North Eastern Region. Inputs include gait, posture, joint movement, pain and mobility; imaging or sensors are included only where applicable. Preliminary risk reports, health-worker records, multilingual interfaces, offline collection and joint-care guidance are requested. The proposal is screening support, not a demonstrated diagnostic replacement.

No. 371Problem statementHealth and wellbeing

Real time health monitoring of aircrew

Provide remote real-time monitoring of aircrew health during extended fighter flights and aeromedical research. The source asks for non-invasive physiological measurements and alerts for acute deviations, with self-contained power, data storage and communication. It does not list the promised individual vital parameters in the visible text.

No. 554Problem statementHealth and wellbeing

Development of Artificial Intelligence Based Comprehensive Device for Detection of Cognitive Disturbances

The challenge asks for a portable hardware and software system that continuously assesses cognitive function using physiological signals and AI-assisted analysis, providing real-time alerts and insights to individuals and medical personnel. It must remain accurate amid motion, vibration, confined spaces, humidity and temperature extremes, account for individual variation and artefacts, be comfortable for prolonged use, and integrate with existing health systems. The source explicitly requires encryption, informed consent, clinical trials, user feedback and medical-device and military regulatory approval; the proposed signals are not yet established as validated cognitive measures.

No. 555Problem statementHealth and wellbeing

Development of Feedback loop extravasation detection and alarm system

The challenge asks for a low-cost, automated system that continuously detects intravenous infiltration or extravasation at the cannula site and closes a feedback loop with existing infusion pumps. Local, skin-compatible sensors may measure tissue dimensions, pressure or physical changes, but the design must work across cannula sizes and age groups, including neonates, children and older adults, while handling movement artefacts and signal drift. It should fit current dressings, provide early objective warnings, use an open platform compatible with different pump makes, and minimise caregiver subjectivity.