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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 13 | Issue 11 | Month- November 2025
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Paper Title
AI-POWERED LEARNING AND CAREER ASSISTANCE PLATFORM
Authors
Varre Naga Pujitha, Prattipati Thirtha Rohith, Yarajarla Sowjanya, Chigurupati Dharma Teja
Keywords
Career Prediction, Machine Learning, SVM, Web Development, Career Guidance, PHP, Flask
Abstract
Career decision-making plays a crucial role in shaping students' futures, yet many struggle due to lack of structured guidance and awareness of their strengths. This paper presents an AI-powered Career Assistance Platform, a web-based system designed to recommend personalized job roles based on students' academic performance and personality traits. The platform employs Support Vector Machine (SVM) algorithms to classify inputs and suggest relevant career paths. It is developed using PHP and Flask, with a secure backend for data management. The system was tested using real and sample input data and achieved a prediction accuracy of over 95%, validating its effectiveness in career role classification. The platform aims to bridge the gap between education and employment by offering reliable, accessible, and intelligent career guidance.
IJCRT's Publication Details
Unique Identification Number - IJCRT2504452
Paper ID - 281971
Page Number(s) - d886-d893
Pubished in - Volume 13 | Issue 4 | April 2025
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Varre Naga Pujitha, Prattipati Thirtha Rohith, Yarajarla Sowjanya, Chigurupati Dharma Teja, "AI-POWERED LEARNING AND CAREER ASSISTANCE PLATFORM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 4, pp.d886-d893, April 2025, Available at :http://www.ijcrt.org/papers/IJCRT2504452.pdf
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Volume 13 | Issue 11
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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