Bharat in Betastartup field guide
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No. 1060Problem statementHealth and wellbeing

Wearable sensor with Artificial Intelligence for prevention of falls in elderly people

Source

Source summary

Explore AI-enabled wearable sensing that warns older people about fall risk during everyday activities through tactile, visual or auditory feedback. The source describes monitoring balance-related risk and barriers to attending in-person exercise programmes, including rural access, transport and cost. The proposed sensor trigger concerns the body’s line of gravity moving outside its base of support; fall prevention remains an intended outcome.

No. 1037Problem statementHealth and wellbeing

Develop a Smart Yoga Mat integrated with Artificial Intelligence (AI) capabilities to support smart watch integration for tracking progress and provide curated yoga content by experts, while ensuring its affordability.

Prototype an affordable AI smart yoga mat connected to smartwatches. Track heart rate, estimated calories and session duration, then offer personalised routines, expert-curated video/audio and posture guidance from performance data. Demonstrate ergonomic usability, integration and cost-effective manufacturing suitable for AYUSH startups and Indian users. Guidance quality and health benefits are goals to test.

No. 1221Opportunity areaHealth and wellbeing

Innovative Gerontological Care Solutions: Designing the Future of Elderly Care Products

Design accessible, affordable, safe and easy-to-use products supporting older people’s physical, emotional and social needs. The source offers mobility aids/home adaptation, health or medication management, fall/emergency tools, companionship/community participation and cognitive activity as possible directions. Durable, environmentally considerate, energy-efficient and scalable design is requested. Independence and wellbeing are intended outcomes, not established benefits.

No. 1409Problem statementHealth and wellbeing

A secure, AI-powered Personal Health Companion that delivers real-time, privacy-preserving health monitoring and early warning capabilities, helping individuals recognize health risks before they become emergencies. The solution should improve resilience during heat waves, floods, pollution events, and other disasters common in India while enabling continuous health support through on-device intelligence.

Develop a privacy-preserving wearable/mobile health companion analysing physiological and environmental signals locally, including during network outages. Identify possible changes linked to heat, respiratory distress, fatigue, falls or other risks, and offer summaries/advice and emergency contact alerts. Keep sharing under user control and location assistance permission-based. The source allows some or all monitoring features across phones/wearables for individuals and health/disaster programmes; risk indications are not validated diagnoses.