Solution

Our team developed an AI-powered IoT system that works on three main levels.

IoT Sensors

Smart bands and rings continuously measure heart rate, oxygen levels, stress, and sleep patterns.

AI Health Engine

This engine learns each user's habits and biometric data. It not only records information but also gives early warnings about potential health issues.

Smart Recommendations

The mobile app provides users with a daily "Health Score" and offers tips based on their lifestyle. For example, it might say, "I drank less water today" or "Your sleep patterns are off," or suggest reducing screen time in the evening.

Results

In a 6-month pilot project, 500 people participated. The results were impressive.

• 72% of users reported lower average stress levels.
• 60% of participants indicated better sleep quality.
• 45% of users received alerts that helped them prevent health issues early.

Conclusion

This project shows that good data and smart algorithms can do more than just track health and they can also help individuals improve their overall well-being.

The Smart Wellness Tracker indicates that in the years ahead, healthcare will focus not only on treatment but also on proactive care and predicting health needs.

Solution: Matru Raksha Jaal Ecosystem

The key innovation of the "Matri Raksha Jaal" is the "Suraksha Sari," a bamboo-based smart garment with IoT sensor patches.

• Optical sensors measure blood flow
• Hydrosensors check cortisol levels from sweat
• GPS-enabled floating beacons monitor location during floods.

These devices are connected by a low-power Zigbee Mesh Network that communicates with a satellite-based SDR. The XAI Neural Engine operating on the edge device learns from local data to identify flood-related health patterns specific to Assam.

The "Raksha Prediction" algorithm combines activity and humidity levels to assess the risk of bleeding 48 hours in advance. As the risk rises, the Sari issues a gentle vibration alert and delivers a micro-dose of medication through a micro-pump.

In critical situations, it activates "Rakshadoot drones," which transport blood kits and AR-enabled equipment to local midwives while providing guidance through voice AI in Assamese or Bodo.

Privacy and Data Security

The system employs federated learning, ensuring all data remains on the device while only anonymous statistics are shared and users can record symptoms with voice input in the local dialect, which helps overcome the digital literacy barrier.

Implementation and Results

In 2025, this pilot program was launched in 12 villages (ie 300 women) using solar-powered kits. Over six months,

• Postpartum hemorrhage rates fell from 25% to 8%
• Emergency drone calls decreased by 65%
• The diagnostic accuracy of local midwives rose by 90%

Conclusion

"Matri Raksha Net" showed that technology can serve as a life-saving tool. The project became a living example of maternal safety and women's empowerment in flood-prone areas of Assam, where AI and IoT have turned human sensitivity into technological strength.