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The Job selection process in today’s globally competitive economy can be a daunting task for prospective employees no matter their experience level. Although many years of research has been devoted to job search and application resulting in good integration with information technology including the internet and intelligent agent-based architectures, there are still many areas that need to be enhanced. Two such areas include the quality of jobs associated with applicants in the job search by profiling the needs of employers against the needs of prospective employees and the security and verifications schemes integrated to reduce the instances of fraud and identity theft. The integration of mobile, intelligent agent, and cryptography technologies provide benefits such as improved accessibility wirelessly, intelligent dynamic profiling, and increased security. With this in mind we propose the intelligent mobile agents instead of human agents to perform the Job search using fuzzy preferences which is been published elsewhere and application operations incorporating the use of agents with a trust authority to establish employer trust and validate applicant identity and accuracy. Our proposed system incorporates design methodologies to use JADELEAP and Android to provide a robust, secure, user friendly solution.

Biometric Application of Intelligent Agents in Fake Document Detection of Job Applicants