Fake Account Detection with Neural Networks addresses the pervasive issue of fraudulent accounts in online platforms. Utilizing the capabilities of neural networks, this system analyzes user behavior, engagement patterns, and content to identify indicators of fake accounts. By continuously learning from evolving online dynamics, the model distinguishes between genuine and fake profiles, contributing to the mitigation of online fraud, identity theft, and the spread of misinformation in digital spaces.
Software Requirements :-
1. Operating System: Win 7 or more
2. Programming Language: Python
Hardware Requirement :-
1. Processor-i3
2. Hard disk-5GB
3. Memory-2GB RAM