Page 157 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

The innovation lies in its low-cost, portable, and Artificial Intelligence (AI)-powered solution that
enables continuous health monitoring without requiring patients to visit healthcare centres. The
expected impact includes reduced NCD-related complications, increased health awareness,
and improved healthcare accessibility. 4.1-Healthcare

Partners
• Mbeya University of Science and Technology (MUST)
• Local Health centres

2�2 Benefits of the use case
• The system promotes early diagnosis and preventive care.
• Encourages digital health innovations and ICT use in healthcare.
• Targets healthcare access disparities between urban and rural populations.

The project contributes to improving NCD prevention, healthcare accessibility, and innovation
in health systems. For instance, the system promotes early diagnosis and preventive care;
encourages digital health innovations and ICT use in healthcare, and targets healthcare access
disparities between urban and rural populations.

2�3 Future Work

Future development of the system includes integrating more biosensors, such as
Electrocardiogram (ECG), respiratory rate, and glucose monitors, to provide a comprehensive
health profile. Advanced AI models, such as deep learning algorithms, will be implemented
to improve prediction accuracy and personalization.

Collaboration with telecom providers can enhance real-time data transmission in rural areas.
Additionally, a cloud-based dashboard for healthcare professionals will be developed to allow
remote consultations.

3 Use Case Requirements

• REQ-01: Real-time data acquisition from wearable sensors
• REQ-02: Wireless transmission of health data
• REQ-03: On-device AI/ML capability for anomaly detection
• REQ-04: Secure storage and privacy protection for user data
• REQ-05: Mobile/web interface for alerts and health insights
• REQ-06: Light Emitting Diode (LED) indication for normal/abnormal condition on the
device
• REQ-07: Scalability to support multiple users in rural settings

4 Sequence Diagram

This diagram shows the flow of data and interactions between sensors, AI processing, alert
generation, and healthcare access.

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