Background India faces recurring public health challenges during and after disasters such as heat waves, floods, cyclones, air pollution events, disease outbreaks, and extreme weather conditions. Heat stress, dehydration, respiratory illnesses, cardiovascular complications, and delayed access to healthcare are common during such events.
Rural populations, elderly citizens, outdoor workers, and people with chronic medical conditions are particularly vulnerable. Climate-related hazards are increasing in frequency and intensity, creating a need for continuous, personalized health monitoring that can function even when connectivity and healthcare access are disrupted.
Advances in edge AI now enable wearable devices and mobile phones to analyze health data locally, providing real-time insights while preserving user privacy and operating without constant cloud connectivity. Local AI processing can support health monitoring in remote and underserved areas where internet access may be limited.
Description Develop a Personal Health Companion, a privacy-preserving wearable or mobile application that continuously monitors an individual's physiological and environmental data and uses on-device AI to detect potential health anomalies in real time.The solution should analyze data from sensors such as heart rate, blood oxygen (SpO?), body temperature, activity levels, sleep patterns, and environmental conditions. The system should identify early indicators of heat stress, dehydration, respiratory distress, abnormal vital signs, fatigue, falls, and other health risks that may be exacerbated during disasters and environmental emergencies.All sensitive health data should be processed locally on the device to maximize privacy, minimize latency, and ensure continuous operation even during network outages. The application should provide actionable alerts, wellness recommendations, and emergency notifications while allowing users to maintain control over their personal health information. Edge AI approaches provide faster responses, improved privacy, and offline functionality.
Expected Solution The proposed solution should implement some or all of the following:
1. Continuous Health Monitoring
• Monitor heart rate, SpO?, body temperature, activity levels, and sleep quality. • Track changes in baseline health patterns. • Generate personalized wellness indicators.
2. AI-Based Health Anomaly Detection
• Detect abnormal heart rate patterns. • Identify indicators of heat stress, dehydration, fatigue, and respiratory issues. • Recognize sudden changes that may require medical attention. • Provide risk assessments using on-device AI inference.
3. Disaster-Specific Health Alerts
• Heat-wave exposure warnings. • Air-quality and respiratory-risk alerts. • Flood and cyclone-related health advisories. • High-risk notifications for vulnerable individuals during extreme weather events.
4. Environmental Awareness
• Integrate data from local temperature, humidity, and air-quality sensors. • Assess environmental conditions that may affect health. • Generate personalized recommendations based on local risks.
5. Privacy-Preserving Edge AI
• Perform all health analysis locally on the device. • Minimize transmission of sensitive personal information. • Operate effectively with intermittent or no internet connectivity. • Maintain user control over data sharing.
6. Emergency Assistance Features
• Automatic detection of falls or medical distress. • SOS alerts to caregivers or emergency contacts. • Location-enabled emergency assistance when permitted by the user.
7. Personal Wellness Dashboard
• Daily health summaries and trend analysis. • Risk scores for heat, respiratory, and cardiovascular stress. • Personalized recommendations for hydration, rest, activity, and medical consultation.
8. Scalable Deployment
• Support smartphones, smartwatches, fitness bands, and specialized healthcare wearables. • Suitable for individual consumers, healthcare providers, disaster-response agencies, and public health programs.