Assesa44/Tanzania-Wells-Functionality-Prediction

This project leverages Machine Learning to monitor rural water well functionality in Tanzania. # Beyond the Surface: #### *Leveraging Machine Learning to Monitor Rural and Urban Well Functionality in Tanzania* ## **Business Understanding** ### **Background** In a nation where one-third of the country is arid to semi-arid, access to basic water has been a constant challenge for the longest time. Despite the government's effort to deal with this issue, Tanzania has remained a water-stressed country. Other than the three major lakes in the region, groundwater has been the major source of water for the nation's people. It is in this context that, in 2006, the Government of Tanzania adopted a National Water Sector Development Strategy, which aimed to promote integrated water resources management and the development of urban and rural water supply. As part of its National Water Sector Development Strategy, the Tanzanian government prioritized decentralized water supply infrastructure, with a strong emphasis on constructing wells and boreholes throughout the country. Although it has made significant progress in improving access for thousands of citizens, it still has a long way to go. --- ### **Project Overview** As of 2023, only 61% of households in Tanzania have access to a basic water supply. The Tanzanian government has made efforts to bridge this gap; however, it has been a slow descent. This project seeks to: - Investigate why the percentage of households that have access to basic water is slightly above 50%, despite the National Water Sector Development Strategy being in place for almost 2 decades. - Leverage supervised machine learning to help the Government keep track of the functionality status of the wells across the country, whether functional, needs repair, or non-functional. - Provide recommendations to help the Tanzanian Government accelerate its National Water Sector Development Strategy. --- ### **Project Objectives** This project seeks to: - Develop a machine learning model that predicts whether a well is: - *Functional* - *Non-function …