This project explores using social media behavior to predict personality traits, considering the difficulty of identifying personality traits through social media digital footprints. It highlights the various activities users can engage in on social networking sites and the potential for those behaviors to reflect their personality.
- Processor : Pentium-IV
- Speed : 1.1 GHz
- RAM : 512 MB
- Hard Disk : 40 GB
- IDE : Anaconda3 (Spyder), DB Browser for SQLite
- Coding Language : Python Version 3.8 or above
- Operating System : Windows 10, Windows 11