MarionJelimo/tanzania-well-health-monitoring-system

This project tackles the issue of clean water access in Tanzania, a developing country with over 57 million people. It aims to build a classifier that predicts water well conditions using data like pump type and installation date, helping NGOs and the government identify wells needing repairs, improve future construction, and reduce failure. # Enhancing Lives through Well Waters: Classification Analysis for Sustainable Water Management in Tanzania #### Author: Jelimo Marion ## Overview ## Enhancing Lives through Well Waters Several countries struggle with providing easily accessible, inexpensive, and clean water to its citizens. Tanzania, a developing country, with a population of 57, 000, 000 is one of these countries. As a solution, the government has established wells in numerous places in the country to cater to her citizens However, the government currently faces a predicament in maintaining the wells as some break down and others fail completely. Therefore, there is need for a means to ensure that the wells that have broken down are repaired and that future wells that are built have reduced if not eliminated break-down possibility. This project oversees the attempt to fill the gap at hand. ## Business Understanding ### Business Problem The Government of Tanzania wants to repair the wells that have broken down in their country and build new wells with minimized if not eliminated break-down rate. However, they need to identify and locate these wells as well as identify reasons of breakdown for future building. ### Problem Statement The task at hand is to create a classifier algorithm that predicts the condition of the water well, using information gathered from existing wells. ### Objectives - To create a classifier algorithm that predicts the condition of a water well - To predict how likely a well is to break down - To identify which wells are in need of repair - To reduce the break-down rate of future wells ## Data Understanding ### Data Sources Training set values: The independent variables that need predictions ### Features - amount_tsh - Total static head (amount water available to waterpoint) - date_recorded - The date the row was entered - funder - Who funded the well - gps_height - Altitude of the well - installer - Organization that in …