Machine Learning-Based Fake Profile Detection on Social Networking Websites

V. Mahesh; K. Tharun; P. Rushikesh; D. Saidulu

doi:10.32628/CSEIT2410236

Authors

V. Mahesh UG Student, Department of Information Technology, Guru Nanak Institutions Technical Campus, Hyderabad, Telangana, India Author
K. Tharun UG Student, Department of Information Technology, Guru Nanak Institutions Technical Campus, Hyderabad, Telangana, India Author
P. Rushikesh UG Student, Department of Information Technology, Guru Nanak Institutions Technical Campus, Hyderabad, Telangana, India Author
D. Saidulu Associate Professor, Department of Information Technology, Guru Nanak Institutions Technical Campus, Hyderabad, Telangana, India Author

DOI:

https://doi.org/10.32628/CSEIT2410236

Keywords:

Fake Profiles, Python, Machine Learning, Random Forest Classifier, Decision Tree

Abstract

These days social media has become an integral part of our lives, the challenge of detecting the fake accounts on platforms like Instagram, twitter, facebook etc. , . has gained significant importance. Each of these social media platforms offers benefits and drawbacks, as well as security risks for our information. This project titled "Instagram Fake Account Detection using Machine Learning", employs Python as its primary tool to tackle this problem. It leverages two powerful machine learning algorithms, the Random Forest Classifier and the Decision Tree Classifier, to accomplish this task.

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