Fake Social Media Profile Detection using Python | Machine Learning Projects

Objective of this project is to develop a robust and efficient system for the detection of fake Instagram accounts, leveraging the power of machine learning techniques. By analyzing a meticulously curated dataset, derived from authentic social accounts, the project aims to explore key indicators and patterns that distinguish genuine accounts from fake ones. The dataset incorporates a range of pertinent features, including follower-following ratios, user biography length, follower and following counts, profile picture presence, account privacy status, media content count, and various attributes related to the username.

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Software Requirements :-
• Coding Language : Python
• Implementation: Web Framework.
• Operating system : Windows 10 / 11.
• Graphical User Interface : HTML, CSS, Django

Hardware Requirement :-
• Input Devices : Keyboard, Mouse.
• System : Pentium i3 Processor.
• Hard Disk : 500 GB.
• Ram : 4 GB.

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