AI-Integrated IoT-Enabled Smart Mask For SoS Alerting And Disease Prediction Based On Air Pollutants

Abstract

Air pollution is the contamination of air due to human and natural activities. It is estimated that air pollution leads to 7 million deaths, a number which is projected to rise over the coming years. Illnesses like asthma, bronchitis, chronic obstructive pulmonary disease (COPD), etc., are worsened by exposure to air pollutants, which also exacerbate any underlying cardiac and respiratory disorders. Thus it is essential to constantly monitor air quality and to provide a detailed analysis of air pollutants in the user’s environment. Additionally, this may be used to predict diseases that can be brought on by both short- and long-term exposure to air pollution. Furthermore, wearable technology and health monitoring have seen an increase in popularity in recent years. A wearable device that analyses air quality, and respiratory parameters, protects the wearer from breathing in high concentrations of pollutants, sends SOS alert in case of emergency, and also makes generalised disease predictions based on the dataset provided will be beneficial. In addition, the wearable device must: (i) be able to wirelessly communicate with other devices, (ii) consume very little energy, (iii) have a long battery life, and (iv) be able to share patient data with family, friends, and healthcare professionals. The project aims to design and develop a smart mask that can measure air quality, and monitor the respiratory rate, temperature, and humidity of the user. The device is AI-integrated and IoT-enabled thereby the collected data is analysed and uploaded to the cloud. The user’s analysed data is available to be viewed on an application. A provision to alert emergency contacts and medical professionals shall be added as well.