Journal Press India^®

Author Details ( * ) denotes Corresponding author

Choosing a mate is an integral part of human life and the world has started looking for mates online whether through online dating platforms, matrimonial platforms, or any social media platforms. The online world gives ease to people in finding other interesting people but it also allows scammers to fake themselves on the platforms and do frauds. This paper focuses on online fraud happening on dating websites. In the research, efforts have been made to solve online dating scams by early detection of fake profiles in order to make people aware of the scammers. First, the data has been collected using crawler API and then the data has been processed. Afterward, machine learning techniques have been applied to train a model that can accurately predict whether a profile is fake or real. The classification models like random forest model, naive Bayes, support vector machine, and K- nearest neighbor have been used for this purpose Then the models are tested and their accuracies have been compared. The Random Forest with 94.89 % of accuracy, came out to be giving best results.

Keywords

Website, fake profile, dating app

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