AirFit

Air Quality Analytics for Personalized Health Recommendations

The basic idea of our proposed project, called AirFit, is to develop a smart personalized recommendation system that continuously monitors air pollutants in conjunction with climate parameters, health data, and medical profiles of people interested in receiving warnings and recommendations. AirFit will be deployed in a pilot region in Sfax, which is considered to be the most polluted city in Tunisia. In fact, Sfax suffered from the largest chemical factory in the past in Tunisia and is still suffering from its waste (e.g., phosphogypsum). AirFit will be dedicated to both (1) patients suffering from chronic diseases and (2) healthy citizens.

Objectives

AirFit aims to create a monitoring system using IoT sensor networks for houses and individuals.

Sensor Deployment

The system will deploy 30 indoor and outdoor sensor boxes, 5 weather stations, and 30 smart health watches/bands each year.

Data Transmission

Collected data will be transmitted wirelessly to a central database using communication technologies like 4G/5G, WiFi, I2C/SPI, and LoRaWAN gateway.

AI-Based Analytics

Artificial intelligence techniques will be employed to analyze the collected data.

Alert Generation

Alerts will be triggered if predefined or self-learned thresholds are exceeded, along with personalized recommendations.

Financed by

The DAAD is the world’s largest funding organisation for the international exchange of students and researchers.

  • The DAAD funds and supports millions of scholars, promotes internationalization of German universities, and advises on cultural and educational policies.
  • Its budget comes from federal funding, the European Union, and other sources, and it has offices in Bonn and Berlin.
  • The DAAD offers a wide range of opportunities, from grants to internships, and facilitates German studies and language promotion abroad.

Partners

Contact Us

Prof. Dr. Bernd Freisleben

Philipps-Universität Marburg
Department of Mathematics and Computer Science, University of Marburg
Hans-Meerwein-Str. 9

freisleben@uni-marburg.de

+49 6421 - 28 21 568

06421-2821573

Dr. Afef Mdhaffar

Digital Research Center of Sfax
Tunis road 10 km Technopole of Sfax, Sakiet Ezzit, Ons city
3021 Sfax - Tunisia

afef.mdhaffar@enis.tn

(+216) 74 863 042

(+216) 74 863 041