Abstract
Abstract: Resume Application Tracking System with Google Gemini Pro provides an innovative solution to the problems in the recent hiring. The main aim of this system is to help the job seekers in order to grab an oppurtunity in the competitive job market and ensure that the process of resume screening goes smoothly. The technology used in this system is Google Gemini Pro, the most capable and large language model created by Google DeepMind. This technology is capable of interpreting code, video, audio, image, text and helps to increase the accuracy and speed of resume screening. The system also makes use of Streamlit for the user interface and PyPDF2 for direct text extraction from resumes. Users can provide the appropriate job description and upload their resumes, which will then be analyzed and the system will display the approximate matching percentage, missing keywords and a brief profile summary. The system will automatically evaluate and classify resumes in real-time applications, delivering recruiters an easy way to find eligible applicants. This approach is used in wide range of sectors and can be beneficial as the job market is down due to recession. Therefore, the goal of this system is to tranform the resume processing industry, saving recruiters time and money while also raising the standard of candidate selection.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal for Research in Applied Science and Engineering Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.