Achieved AI for Earth Grant of $5,000 for the First Time from Pakistan

Evolvement of groundwater arsenic and health risk assessment prediction model via machine learning in Sindh, Pakistan

In this project various machine learning models including Naïve Bayes, Support vector machine, Multiclass Decision Forest, Multiclass Neural networks, Bayesian Regression and Decision forest regression will be used to develop As Contamination and Health Risk Assessment Prediction Model (ACHRAP model). The developed ACHRAP model could be deployed in Sindh province to predict the As contamination and its after effects on the health of people of those regions. It is first time that the Microsoft Azure services would be used to develop a machine learning prediction model for As contamination because the previous works have used Matlab for modeling groundwater As concentrations.

Investigators


Dr. Sania Bhatti
Associate Professor
Department of Software Engineering
Mehran University of Engineering and Technology
Jamshoro, Sindh, Pakistan


Dr. Mohsin Memon
Associate Professor
Department of Software Engineering
Mehran University of Engineering and Technology
Jamshoro, Sindh, Pakistan


Zulfiqar Ali. Bhatti
Assistant Professor
Department of Chemical Engineering
Mehran University of Engineering and Technology
Jamshoro, Sindh, Pakistan

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