Personality Prediction System Through CV Analysis
| dc.contributor.author | Monalisa, Afroja Khatun | |
| dc.contributor.author | Mahin, Md. Omar Kaiser | |
| dc.date.accessioned | 2022-02-15T04:20:14Z | |
| dc.date.available | 2022-02-15T04:20:14Z | |
| dc.date.issued | 2021-09-09 | |
| dc.description.abstract | This project titled "Personality Prediction System through CV Analysis", which is built to solve the CV analysis problem. This project is a construction of solutions to CV analysis problems. In this system, in order to make the recruitment process more effective and efficient, we are building a personality prediction model. In this system, we will implement the model based on the resume, ability and personality test . The concept behind the model is to add candidates to the shortlist according to the administrator's request. Therefore, the workload of the and the time required to select the best horsepower will be reduced. First, candidates will be shortlisted based on of their resumes, and then they will get ability and personality test links. Based on scores and HR requirements, candidates will be selected. To carry out this system, random forest algorithm, support vector machine, weighted majority voting algorithm are studied | |
| dc.identifier.other | http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/7157 | |
| dc.identifier.uri | http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/7157 | |
| dc.language.iso | en_US | |
| dc.publisher | Daffodil International University | |
| dc.source | DIU Institutional Repository | |
| dc.subject | Personality prediction | |
| dc.subject | CV analysis | |
| dc.subject | Vector machine | |
| dc.title | Personality Prediction System Through CV Analysis | |
| dc.type | Article |
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