1. Fake job interpreter: A web based solution for fake job detection.
- Author
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Mehta, Ashu, Chandra, Uday, Tripathi, Akanksha, and Dhiman, Aakash
- Subjects
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JOB applications , *JOB hunting , *JOB postings , *JOB offers , *DIGITAL communications , *DIGITAL technology - Abstract
With increase in advancement of technology and digital communication, it brings an ease for organizations torecruit job seekers online. Furthermore, Corona virus(COVID19) outbreak has made it almost impossible for anysector to not operate on a digital platform. Increase inunemployment due to Covid19, people are in desperate need of job, so recruiters tend to post online recruitment forapplicants to access it quickly and timely. However, scammersalso started posting fake jobs to collect hard earned moneyand personal information of job applicants, sometimesadvertisements for such job posting is written against areputable firm to damage its reputation. To avoid suchfraudulent and to minimize such behaviour by using datavisualization to predict fake job postings, so the applicant willbe alert and if required can report such job offers. The projectwill use website for users to perform search for job predictionand filters with the help of tableau software to analyze patternof too good to be true job types. To achieve project objective inreal world experiment is carried out on Employment ScamAegean Dataset (EMSCAD) consists of 18000 samples fromKaggle website. Then sample is updated to make it morerealistic and communicative. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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