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AI based Match Maker using Recommendation System and K means Clustering Algorithm

Arshiya Fathima, Steve Prince, Stalin Varghese K, Syed Affan, Tenzin Choyang

Abstract


Matchmaking in the modern era has undergone a transformative shift, with algorithms playing a key role in connecting individuals for various purposes, including dating and matrimony. Modern matchmaking platforms employ advanced technologies, such as artificial intelligence (AI) and machine learning, to enhance the compatibility assessment process. The project aims to turn traditional matchmaking through advanced machine learning. it aims to predict compatibility by analyzing diverse factors including values and personality traits, utilizing supervised learning on extensive datasets. K means clustering identifies distinct group based on shared traits, focusing on more precise matchmaking model. The system assesses accuracy, performance and ethical considerations. The model addresses ethical concerns and employing K means clustering for insightful data clusters, the project aims to enhance compatibility prediction, offering a more tailored and informed matchmaking experience.


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References


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