Published August 1, 2025 | Version v1
Journal article Open

CareerPulse AI: Next-Gen AI Resume Optimizer and Career Guidance System

Authors/Creators

  • 1. Department of Artificial Intelligence and Machine Learning, University Visvesvaraya College of Engineering (UVCE), Bangalore, India

Description

The growing dependence on digital platforms for job applications has exposed major limitations in traditional resume builders and career tools, which largely rely on static keyword-matching and fail to deliver personalised guidance. This study introduces the Next-Gen AI Resume Optimiser and Career Guidance System, developed to intelligently parse resumes, detect skill gaps, and offer actionable feedback for professional growth. The system employs a Retrieval- Augmented Generation (RAG) architecture using Google's Gemini 1.5 Flash model integrated with ChromaDB, ena- bling dynamic evaluation and contextual recommendations. It automates resume screening, assigns ATS-based rele- vance scores, and matches users to suitable job roles based on their skills, goals, and geographic context. Furthermore, the platform incorporates a multilingual chatbot for interactive career guidance, enabling users to receive real-time support on skill development and market alignment. Results demonstrate that this integrated approach improves re- sume visibility in Applicant Tracking Systems and enhances user readiness for evolving job markets. 

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Additional details

Dates

Created
2025-05-07

Software

Repository URL
https://careerpulseai.streamlit.app/
Programming language
Python , CSS
Development Status
Active

References

  • Jain, S.; Garg, M.; Verma, P. Resume Parser and Ranking System using Natural Language Processing. In Proceedings of the 2022 International Conference on Computational Intelligence and Data Science (ICCIDS), Noida, India, March 2022. 340 341 Mittal, P.; Sharma, M.; Saini, A. Intelligent Resume Analyzer and Ranker using Machine Learning and NLP. International Journal of Computer Applications, 2021, 178, 25–31. 342 343 344 Career Crafter AI. Available online: https://www.careercrafter.ai (accessed on 31 July 2025). 345 Wadhwa, S.; Malhotra, S.; Saxena, M. Automated Resume Screening System using NLP. International Journal of Engineer- ing Research & Technology (IJERT), 2020, 9(05), 236–239. 346 347 ChromaDB. Open-Source Vector Database for LLM Applications. Available online: https://www.trychroma.com (accessed 348 on 30 July 2025). 349 GitHubRepository: Streamlit-based Resume Analyzer Tool. Available online: https://github.com (accessed on 30 July 2025). 350 King, B.; Lammers, B. Building Natural Language Applications with spaCy. O'Reilly Media: Sebastopol, CA, USA, 2021. 351 LinkedIn Job Trends Report 2024. Available online: https://www.linkedin.com/business/talent/blog (accessed on 28 July 2025).Naukri.com Resume Insights Tool. Available online: https://www.naukri.com (accessed on 25 July 2025).