AI-Powered Model for Intelligent Resume Recommendation and Feedback
Abhishek Kumar Mishra, Siddharth Singh, R C Jisha · 2024
The research aims to develop a system that is capable of suggesting the most suitable resumes based on the job requirements provided by recruiters through uploaded files. The proposed System approach utilizes the Bert Model to enhance the precision and relevance of job recommendations, and ensure a seamless alignment between skills and job requirements. Furthermore, that system offers constructive feedback to candidates whose skills may not match the specified job requirements, going beyond the traditional job recommendation process. This feedback mechanism gives valuable insights for personal and professional growth, and it is also promoting a transparent and constructive interaction between candidates and the hiring process. In addition to providing instant resume recommendations and feedback, our model will also anticipates upcoming future job opportunities based on the candidate’s skills set. This predictive feature is allowing candidate to strategically plan their career paths and stay ahead of evolving industry demands.