Published: 9 July 2021| Version 2 | DOI: 10.17632/hgm56vj976.2
Tasnim Niger,
Hasanur Rayhan,
Rashidul Islam,
Kazi Noor


Dataset equipped with the information relating to students’ personal and educational background propensities, intelligence, achievements, interest, plans etc. Data collection process had structured dialogue with specific target group i.e. university students. There were four ways of data collection – in-person interviews, online interview, mail and phone call. Main target was to get primary data that is reliable and can be easily used in machine learning algorithm for better analytics and detect behavioural disorders namely depression, anxiety and internet addiction.