AI Powered Career Guidance System with Intelligent Job Recommendation

Abstract

The AI Resume Analyzer System is an intelligent application designed to assist students and job seekers in improving their employability by analyzing re- sumes using advanced Artificial Intelligence techniques. This system evaluates resumes based on key parameters such as skills, keywords, specialization, and formatting, and provides meaningful insights to enhance the overall quality of the resume. The proposed system automatically extracts important information from uploaded resumes and compares it with industry-relevant keywords and job requirements. It identifies missing skills, suggests improvements, and cate- gorizes candidates based on their suitability for different job sectors, including both government and private jobs. The system also provides personalized recommendations to help users align their resumes with specific job roles. In addition, the platform includes predefined resume templates, enabling users to create professional resumes easily. All user data and analysis results are securely stored in the backend for future reference. The system presents results through visual indicators such as score meters, bar charts, and performance analytics, making it easy for users to understand their strengths and areas for improvement. By leveraging AI and Natural Language Processing (NLP), this system simplifies the resume evaluation process and empowers users to build stronger resumes, ultimately increasing their chances of securing suitable job opportunities.

Introduction

The text describes an AI Resume Analyzer system designed to help students and job seekers improve their resumes for better job opportunities in both government and private sectors.

It explains that many candidates struggle with ATS (Applicant Tracking Systems), keyword optimization, and industry-specific resume formatting, which often leads to rejection during initial screening. Existing resume tools are limited because they rely on simple keyword matching, provide poor feedback, lack personalization, and do not track user progress over time.

To solve this, the proposed system uses Artificial Intelligence (AI) and Natural Language Processing (NLP) to analyze uploaded resumes. It extracts skills, education, and experience, then compares them with job requirements to identify missing keywords and skill gaps. The system also provides personalized suggestions, resume templates, visual dashboards (charts and score meters), and progress tracking.

A key feature is its ability to differentiate between government and private sector job requirements, offering tailored recommendations for each. It also supports AI-based job matching, template generation, secure data storage, and user progress history.

The literature review highlights related research in resume screening, keyword extraction, skill gap analysis, job matching, visualization, UX design, and system security, showing that while many individual solutions exist, few combine all these features into one platform.

Conclusion

The AI Resume Analyzer System is an innovative solution designed to simplify and improve the resume evaluation process for students and job seekers. By integrating Artificial Intelligence (AI) and Natural Language Processing (NLP), the system effectively analyzes resumes, extracts relevant information, and evaluates them based on industry standards and job requirements. The system helps users identify their strengths and weaknesses by providing a detailed score, keyword analysis, and skill gap detection. It also offers per- sonalized suggestions to improve resume quality and align it with specific job roles in both government and private sectors. The inclusion of predefined templates further assists users in creating professional and well- structured resumes. Additionally, the use of visual representations such as score meters and charts enhances user understanding and engagement. The backend data storage ensures that user information and analysis results are securely maintained for future reference. Overall, this project bridges the gap between job seekers and employer expectations by providing a smart, efficient, and user-friendly platform. It signif- icantly increases the chances of resume selection and helps users prepare better for career opportunities.

References

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Copyright

Copyright © 2026 Arifa Parveen J, Afreen Sulthana E, Ganga Bharathi S, Subhashini K, Mr. R. Ramachandran. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.