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Sujal Tyagi

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Articles

International Journal For Multidisciplinary Research

|
By vivek Pradhan, Siddhant Kasana, Sujal Tyagi
| ijfmr.com
The modern job search process is complex and time-consuming, requiring candidates to manually search, evaluate, and apply for multiple opportunities. This research proposes an AI-driven automated job search system that uses natural language processing and semantic matching to identify relevant job openings based on a candidate’s profile. The system automatically submits applications and sends personalized referral requests to recruiters.
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