Achieved AI for Earth grant of $5,000 USD for the Second time from Pakistan

Predictive analytics using artificial intelligence for the arsenic levels in water, their exposure to foodstuff and health risk appraisal for Pakistan

In Pakistan, people living in villages and rural areas are consuming ground water for drinking, agriculture and domestic purposes because clean river water is not accessible to them. As toxicity is mostly found in ground water and transported to human beings by ingestion, crops, vegetables, fruits and fishes. This project addresses the challenge of predicting the rise in As levels contamination in water and foodstuff in the respective areas. The developed model based on various regression algorithms could be analyzed and its effects on human health can also be determined in terms of health risk factor. We see this opportunity to access Microsoft Azure’s cutting-edge resources as a critical step toward helping the Government in improving the quality and availability of clean water supplies in the selected areas of Sindh and Punjab provinces of Pakistan. We hope that our project seeks to improve this process by working with Azure and collaborators from Microsoft. 

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