AI-ENABLED JOB RECRUITMENT PLATFORM WITH ALUMNI COLLABORATION

The rapid growth of digital hiring platforms has transformed the recruitment process, yet many students still face challenges in connecting with the right opportunities due to lack of guidance, limited industry exposure, and ineffective filtering of job roles. Traditional job portals often fail to provide personalized recommendations and meaningful networking opportunities, especially for fresh graduates. This project proposes an AI-enabled job recruitment platform integrated with alumni collaboration to bridge the gap between students, alumni, and recruiters. The system leverages Artificial Intelligence (AI) and Machine Learning (ML) techniques to match candidates with suitable job opportunities based on their skills, academic background, and career preferences. The platform uses Natural Language Processing (NLP) to analyze resumes and job descriptions, extracting relevant features such as skills, experience, and keywords. A recommendation engine built using Collaborative Filtering and Content-Based Filtering suggests jobs that best fit the candidate’s profile. Additionally, recruiters can efficiently filter candidates using AI-based ranking systems.

AI Recruitment System, NLP, Resume Parsing, Job Recommendation, Alumni Collaboration, Chatbot, Smart Hiring