Year: 2025
Type: article
Abstract: This research presents an AI-powered web system designed to streamline the job application process, particularly for fresh graduates struggling to tailor resumes to specific job descriptions. By integrating NLP models and external APIs, the system offers personalized recommendations, evaluates resume-job fit, suggests roles, generates tailored drafts, and recommends real-time job postings via the Adzuna API. Leveraging the all-MiniLM-L6-v2 sentence transformer for role recommendations and Google's Gemini for JD-specific resume enhancements, it dynamically aligns candidate profiles with job expectations, moving beyond traditional heuristic-based tools. Utilizing datasets from Kaggle and LinkedIn, this system aims to provide practical, real-time improvements, demonstrating AI’s potential to optimize job searches and enhance employment prospects.
Institution: SRM Institute of Science and Technology
Language: English
Topic: AI and HR Technologies
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W4410415919