(Tartu Ülikool, 2019) Aktas, Kadir; Anbarjafari, Gholamreza, supervisor; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Tehnoloogiainstituut
Traditional way of recruitment process is challenging for both the candidate and the employer.
To apply for a job, the candidate needs to prepare a CV. On the other hand, the employer needs
to check all the submitted CVs and analyze the candidate data manually. These aspects can
make the process very time consuming, especially when there are many candidates. Furthermore,
the manual analysis of the candidate data is very open to human bias. The thesis proposes
an automated video interview analysis system, which eliminates the problems mentioned above.
