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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: April 2026
Volume 11 | Issue 4
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 119
Article Submitted : 23417
Article Published : 9054
Total Authors : 24024
Total Reviewer : 831
Total Countries : 162
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| Paper Title: | CareerPath AI: An Intelligent AI-Driven Job Recommendation and Application Automation System |
| Authors Name: | Chintakatla SaiKumar Goud , B.Shiva Kumar , D.Gopinadh , V.Naresh Goud |
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IJRTI_210884
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| Published Paper Id: | IJRTI2603202 |
| Published In: | Volume 11 Issue 3, March-2026 |
| DOI: | |
| Abstract: | The modern job market presents significant challenges for students and fresh graduates due to information overload, irrelevant job listings, and time-consuming application processes. Traditional job portals rely on keyword-based filtering, which often fails to capture contextual relevance between candidate profiles and job requirements. To address these limitations, this paper proposes CareerPath AI, an intelligent job recommendation and automation platform that leverages Artificial Intelligence and Natural Language Processing (NLP) techniques. The system utilizes a Large Language Model, Google Gemini, to analyze resumes and extract structured information such as skills, projects, and experience. A semantic matching engine based on NLP embeddings compares candidate profiles with job descriptions to provide highly relevant job recommendations. Additionally, the platform integrates public job APIs for real-time job retrieval and automatically generates personalized cover letters for each application. The system is implemented using React for the frontend, Node.js for backend services, and Firebase for data storage. Experimental results demonstrate improved efficiency, reduced manual effort, and enhanced accuracy in job matching. The proposed solution provides a scalable and intelligent approach to modernizing the job search process. |
| Keywords: | Job Recommendation System, Resume Analysis, Natural Language Processing, Semantic Matching, Google Gemini, CareerPath AI, Artificial Intelligence. |
| Cite Article: | "CareerPath AI: An Intelligent AI-Driven Job Recommendation and Application Automation System", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 3, page no.c5-c10, March-2026, Available :http://www.ijrti.org/papers/IJRTI2603202.pdf |
| Downloads: | 00065 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2603202
Registration ID:210884
Published In: Volume 11 Issue 3, March-2026
DOI (Digital Object Identifier):
Page No: c5-c10 Country: Hyderabad, Telangana, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2603202 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2603202 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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