A social media fake account detection system using data analysis and machine learning techniques to identify suspicious accounts and improve online safety. This project analyzes user profiles, posting behavior, and network patterns to detect fake or suspicious accounts on social media platforms.
- Detects suspicious accounts based on profile information and activity.
- Analyzes posting behavior and frequency patterns.
- Examines network connections (followers/friends) for anomalies.
- Helps reduce spam, scams, and misinformation on social media.
- Clone the repository:
git clone https://github.com/keerthanakh89/FakeAccountDetector.git
Navigate to the project folder:
bash Copy code cd FakeAccountDetector Install required libraries (if using Python):
bash Copy code pip install -r requirements.txt Run the main script:
bash Copy code python main.py Technologies Used Python
Machine Learning / Data Analysis libraries (e.g., pandas, scikit-learn, numpy)
Author Keerthana K H