Abstract
It is quite common to hear the phrase ‘Water is the elixir of life’. In the current scenario, water has become an alarmingly depleted quantity. Overconsumption of resources has affected the water table and humans have a big cost to pay. The notion of ‘Water Consumption’ has grown to form stronger and deeper roots, awareness regarding the same has thrust upon an individual. Despite all the moves in the right direction, access to drinking water is a huge cause of concern in developing nations. Water Pumps are considered as one of the most important innovations of all time. In developing nations, it is quite a common sight to spot a water pump for it strives to be a single point of destination to usable water. In recent times, most of the water pumps are not functioning, some partially functional and some functioning, this is a cause of concern. With the aid of Data Mining and Machine Learning concepts, being able to create a model to predict the functionality of the same can prove to be fruitful. To analyse and understand the impact of the availability of water in Tanzania, by studying the operational status of water pumps around the country, and the number of water-related deaths in the region. Through solid inference, the knowledge regarding the same can be extrapolated to different regions around the globe suffering from the same crisis.
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Raj, K.S., Kumar, P. (2022). To Analyse the Impact of Water Scarcity in Developing Countries Using Machine Learning. In: Bhateja, V., Tang, J., Satapathy, S.C., Peer, P., Das, R. (eds) Evolution in Computational Intelligence. Smart Innovation, Systems and Technologies, vol 267. Springer, Singapore. https://doi.org/10.1007/978-981-16-6616-2_6
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DOI: https://doi.org/10.1007/978-981-16-6616-2_6
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