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AI for Good Innovate for Impact



                          Use Case 21: AI-Based Health Monitoring and Advisory System














                      Country: Tanzania

                      Organization: Mbeya University of Science and Technology (MUST), Department of Electronics
                      and Telecommunication Engineering

                      Contact Person(s):

                           Teophiler Daud Mage maggetheo@ gmail .com

                      1      Use Case Summary Table


                       Item                 Details
                       Category             Healthcare, Intelligent transport, accessibility

                       Problem addressed    Limited access to health care and insufficient awareness and actionable
                                            advice for maintaining healthy lifestyles

                       Solution    to   the  Integrating AI with wearable sensors for real-time alerts and automated
                       problem              health advice generation

                       Technology keywords  Artificial Intelligence, Monitoring

                       Metadata (type of data)
                       Data availability    Sensor-based data from wearable devices

                       Model training       Simple machine learning models and anomaly detection

                       Testbeds or pilot
                       deployments



                      2      Use Case Description


                      2�1     Description

                      In developing countries access to regular medical checkups is limited, especially in rural areas.
                      Non-communicable diseases (NCD) such as hypertension and diabetes often go undetected
                      due to the absence of early warning systems. This use case introduces an AI-Based Health
                      Monitoring and Advisory System using wearable sensors and wireless communication. The
                      system collects vital health parameters like heart rate, SpO₂ levels, and body temperature,
                      processes them using AI models, and issues real-time alerts and advisory messages when
                      abnormal values are detected.






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