IJRTI
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)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 10

Issue Published : 115

Article Submitted : 19445

Article Published : 8041

Total Authors : 21252

Total Reviewer : 769

Total Countries : 144

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: CareerCraft AI: A Review on Intelligent Career Advisory Systems Using Machine Learning and Natural Language Processing
Authors Name: Utkarsh Tiwari , Sahil Vishwakarma , Harsh Gupta , Kanchan Talekar , Deepanshu Singh
Download E-Certificate: Download
Author Reg. ID:
IJRTI_206971
Published Paper Id: IJRTI2510125
Published In: Volume 10 Issue 10, October-2025
DOI:
Abstract: CareerCraft AI is a personalized career advisory system that leverages Machine Learning (Random Forest) and Natural Language Processing (NLP) to bridge the gap between a user's current skill set and evolving industry demands. The platform analyzes resumes, identifies skill gaps, and recommends tailored courses, certifications, and job roles based on individual profiles. Unlike traditional career guidance systems, CareerCraft AI provides end-to-end support for both students and professionals, integrating resume optimization, course recommendations, and real-time job matching. The system incorporates feedback loops for adaptive learning and continuous improvement, ensures ATS-compliant resume formatting, and offers interactive visualization modules to enhance user comprehension. Designed with scalability and user-centricity in mind, CareerCraft AI empowers users to make informed, data-driven career decisions, improving employability in a competitive job market.
Keywords:
Cite Article: "CareerCraft AI: A Review on Intelligent Career Advisory Systems Using Machine Learning and Natural Language Processing", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 10, page no.b209-b215, October-2025, Available :http://www.ijrti.org/papers/IJRTI2510125.pdf
Downloads: 00088
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
Publication Details: Published Paper ID: IJRTI2510125
Registration ID:206971
Published In: Volume 10 Issue 10, October-2025
DOI (Digital Object Identifier):
Page No: b209-b215
Country: Thane, Maharashtra, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2510125
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2510125
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Join RMS/Earn 300

IJRTI

WhatsApp
Click Here

Indexing Partner