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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
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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Issue: July 2026
Volume 11 | Issue 7
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 122
Article Submitted : 25330
Article Published : 9497
Total Authors : 25208
Total Reviewer : 873
Total Countries : 172
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| Paper Title: | CareerPilot AI: Intelligent Career Prediction and Personalized Learning Recommendation System Using Machine Learning and Generative AI |
| Authors Name: | Gayatri Kalshetty , Gayatri Jamdade , Kunal Pawar , Prasad Kulkarni |
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| Author Reg. ID: |
IJRTI_212978
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| Published Paper Id: | IJRTI2606009 |
| Published In: | Volume 11 Issue 6, June-2026 |
| DOI: | |
| Abstract: | This paper presents CareerPilot AI, an intelligent career prediction and recommendation platform developed using Machine Learning, Natural Language Processing, Streamlit, and Generative AI technologies. The system analyzes user skills, resume information, and career interests to predict suitable career paths and recommend personalized learning resources. The project integrates machine learning models with the Gemini AI API to provide interactive guidance and recommendations. The proposed system improves decision-making for students and professionals by reducing confusion in career selection and enhancing skill-based recommendations. |
| Keywords: | Machine Learning, Career Prediction, Artificial Intelligence, Streamlit, Resume Analysis, NLP, Recommendation System, Generative AI. |
| Cite Article: | "CareerPilot AI: Intelligent Career Prediction and Personalized Learning Recommendation System Using Machine Learning and Generative AI ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 6, page no.a91-a93, June-2026, Available :http://www.ijrti.org/papers/IJRTI2606009.pdf |
| Downloads: | 000147 |
| ISSN: |
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: IJRTI2606009
Registration ID:212978
Published In: Volume 11 Issue 6, June-2026
DOI (Digital Object Identifier):
Page No: a91-a93 Country: Pune, MAHARASHTRA, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2606009 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2606009 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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