In today’s competitive job market, optimizing resumes for Applicant Tracking Systems (ATS) is crucial for job seekers. Many applicants struggle with keyword optimization, formatting, and alignment with job descriptions, leading to lower chances of getting shortlisted. Machine Learning-Powered Resume Optimization for ATS is an AI-driven software designed to create professional, ATS-compliant resumes with minimal effort. The system is built using React.js and Next.js for an intuitive frontend and Java/Spring Boot for efficient backend processing. It integrates the Llama 3 model hosted on Groq’s AI platform, which analyzes user inputs and generates tailored resumes based on job-specific requirements. Through a structured form, users input their information, and the AI optimizes the material by making sure it is formatted correctly, has keyword enrichment, and is compatible with applicant tracking systems. Job-ready resumes in a variety of formats are generated by the program, which automates the resume-building process. This approach uses machine learning to increase relevance, visibility, and ranking in ATS screenings, in contrast to conventional resume generators. It increases the success rates of job applications while decreasing manual labor by simplifying resume optimization. By making sure resumes get beyond applicant tracking systems (ATS) and effectively reach hiring managers, this project seeks to close the gap between recruiters and job searchers.
Resume Optimization, Applicant Tracking System(ATS), Natural Language Processing(NLP), Keyword Optimization, Spring Boot, React.js, Next.js, Groq AI, Llama 3 Model, Resume Parsing, ATS Compliance, Job Matching
International Journal of Trend in Scientific Research and Development - IJTSRD having
online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International
Journal which provides rapid publication of your research articles and aims to promote
the theory and practice along with knowledge sharing between researchers, developers,
engineers, students, and practitioners working in and around the world in many areas
like Sciences, Technology, Innovation, Engineering, Agriculture, Management and
many more and it is recommended by all Universities, review articles and short communications
in all subjects. IJTSRD running an International Journal who are proving quality
publication of peer reviewed and refereed international journals from diverse fields
that emphasizes new research, development and their applications. IJTSRD provides
an online access to exchange your research work, technical notes & surveying results
among professionals throughout the world in e-journals. IJTSRD is a fastest growing
and dynamic professional organization. The aim of this organization is to provide
access not only to world class research resources, but through its professionals
aim to bring in a significant transformation in the real of open access journals
and online publishing.