Sarahire-skill Based Job Recommendation System For Alumni

• Author(s):

  Selline E | Dr.Rengaraj Alias Muralidharan R | Joanne Pranita G | Kiruthika Lakshmi D | Thirisha Sri J

• Keywords:

  Alumni Management, Job Recommendation System, AI Recruitment, Resume Parsing, Career Guidance, LinkedIn Integration, Candidate Screening

• Abstract:

  Maintaining Alumni Engagement Is A Significant Challenge For Educational Institutions Due To The Lack Of Effective Networking Tools And Real-time Communication. This Disconnect Hinders Mentorship Opportunities, Career Guidance, And Job Placements For Students And Graduates. Additionally, Traditional Job Recommendation Systems Rely On Keyword-based Matching, Often Leading To Irrelevant Job Suggestions And Inefficient Hiring Processes. Sara Hire Addresses These Challenges By Offering A Comprehensive Alumni Management And Intelligent Job Recommendation System That Enhances Alumni-student Interactions And Streamlines Job Matching Through AI-driven Techniques. The System Integrates Resume Parsing, Skill-based Recommendations, Real-time Job Postings, And LinkedIn Integration To Ensure Precise Job Matches And Industry-relevant Career Guidance. AI Algorithms Analyze User Profiles To Identify Skill Gaps, Suggest Career Improvements, And Connect Job Seekers With Relevant Opportunities. The Platform Ensures Secure Authentication, Spam And Fraud Detection, And An Intuitive Admin Dashboard For Monitoring Activities. Sara Hire Also Incorporates Automated Interview Scheduling, Structured Job Applications, And AI-based Candidate Screening, Making The Recruitment Process Seamless For Both Job Seekers And Employers. By Fostering A Strong Alumni Network And Leveraging Intelligent Automation, Sara Hire Transforms Traditional Alumni Management And Job Search Experiences, Providing An Efficient, Secure, And Data-driven Solution To Career Development And Professional Networking.

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Other Details

• Paper id:

  IJSARTV11I4103068

• Published in:

  Volume: 11 Issue: 4 April 2025

• Publication Date:

  2025-04-10

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