Fake Social Media Profile Detection using Machine Learning
Fake Accounts poses a significant challenge in ensuring a secure and trustworthy online environment. This project aims to develop an effective system for detecting fake Instagram accounts using machine learning techniques. The dataset, generated from real social accounts, encompasses various features such as follower-following ratios, user biography length, follower and following counts, profile picture presence, account privacy status, media content count, and username characteristics.
Furthermore, the project outlines the application of multiple machine learning algorithms, including Linear Regression, DC Gentry, Random Forest, and MLP Classifier, for training and evaluating the detection model.
Fake Profile Identification Using Machine Learning
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
☎️ Contact Us For More Queries:-
📲 Call/WhatsApp: +91-9460060699
🌎 Website: www.techieprojects.com
📺 Instagram: @pythonprojects_
💡 Checkout Related Projects:-
1. Android App:- Click Here
2. Java Projects:- Click Here
3. OpenCV Projects:- Click Here
4. Data Science Projects:- Click Here
5. Data Analytics Projects:- Click Here
5. Deep Learning Projects:- Click Here
6. Cyber Security Projects:- Click Here
7. Machine Learning Projects:- Click Here
8. Image Processing Projects:- Click Here
9. Web Development Projects:- Click Here
10. Game Development Projects:- Click Here
11. Artificial Intelligence Projects:- Click Here
12. Database Management System:- Click Here