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Intelligent Agent Based Job Search System In Android Environment

6,300.00 6,000.00

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Abstract: The Job selection process in today’s global
economy can be a daunting task for prospective employees no
matter their experience level. It involves a detailed search of
newspapers, job websites, human agents, etc, to identify an
employment opportunity that is perceived compatible to
abilities, anticipated remuneration and social needs. Search
sites such as Seek, Academic keys.com, CareerBuilder.com,
Job-hunt.org, Monster.com, etc allow prospective employees
to register online and search and apply for employment.
However most do very little to profile employers against
employees or even attempt to confirm the validity of the data
submitted by prospective employees. Also no information
exist on feedback of the employer too on various criteria
submitted by employees. Taking all these into consideration
we here have proposed an intelligent agent (instead of the
human agent) to perform the same search operations by
interacting with the employer and job search coordinator
agents. The proposed solution would involve the creation of
an applicant, job search and employer agents that would use
fuzzy preference rules to make a proper decision in getting a
list of jobs based on the user’s search criteria and also feed the
rating of the employer based on feedback submitted by the
past & current employees which is unique and first of its kind.
All results applicable are organized based on a dynamic
calculation of expected utility from highest to lowest and
displayed as the job search listing.

 

Software Requirements: –

Front End: HTML5, CSS3, Bootstrap
Back End: PHP, MYSQL
Control End: Angular Java Script

Tools:
Android Emulator
xampp-win32-5.5.19-0-VC11
Android SDK – adt-bundle-windows-x86
IDE: Eclipse Mars
jdk-8u66-windows-i586

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