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Clustering countries from an NGO Data to get Top 10 countries who are in dire need of Aid based on their Socio Economic Condition

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HELP-Humanitarian-NGO-Data-K-Means-and-Hierarchical-Clustering

Clustering countries from an NGO Data to get Top 10 countries who are in dire need of aid based on their Socio Economic Condition

Project Description

HELP International is an international humanitarian NGO that is committed to fighting poverty and providing the people of backward countries with basic amenities and relief during the time of disasters and natural calamities. It runs a lot of operational projects from time to time along with advocacy drives to raise awareness as well as for funding purposes.

After the recent funding programmes, they have been able to raise around $ 10 million. Now the CEO of the NGO needs to decide how to use this money strategically and effectively. The significant issues that come while making this decision are mostly related to choosing the countries that are in the direst need of aid.

And this is where this project comes in. The developed model categorise the countries using some socio-economic and health factors that determine the overall development of the country. Then it suggest the countries which the CEO needs to focus on the most.

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Clustering countries from an NGO Data to get Top 10 countries who are in dire need of Aid based on their Socio Economic Condition

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