UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 4 | April 2026

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Published in:

Volume 10 Issue 3
March-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2303124


Registration ID:
504445

Page Number

b203-b209

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Title

FUTUREDOOR Carrier Guidance Assistant Using Machine Learning

Abstract

In this modern world the internet can expand your job search by putting thousands of recruitments ads at your fingertips. The biggest challenge that careers aspirants face is passing interview. An interview is like an ongoing journey and process for every professional. To crack an interview and get a dream job you require two things: the first is a well-prepared resume and the second is good interview preparation. The need for this system is as required stuff were on different platforms. The user has to waste half of the time to gather all these things. Even current many interview preparation platforms have reached certain level of maturity, their success is limited because of the problems users were facing. In this project we are providing all material that required for each stage of interview without any subscription. We guide students from resume building process to HR interview preparation. If any queries student face for that we are provided problem solver chatbot to resolve query while facing in preparation, handling system or any demanded content student want. So through this project student don’t have to surf on different website for different topic. The main aim of the creation of the system is to assemble all required material for interview preparation at one site, also saves the time of the user and also solve interview related problem that some website are fail to solve it. This website will greatly help the user during their placement journey.

Key Words

Interview Protocols, Qualitative Pedagogy, Research Interviews, Query Guider, Problem solving ,Resume builder , Online examination system

Cite This Article

"FUTUREDOOR Carrier Guidance Assistant Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.b203-b209, March-2023, Available :http://www.jetir.org/papers/JETIR2303124.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"FUTUREDOOR Carrier Guidance Assistant Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppb203-b209, March-2023, Available at : http://www.jetir.org/papers/JETIR2303124.pdf

Publication Details

Published Paper ID: JETIR2303124
Registration ID: 504445
Published In: Volume 10 | Issue 3 | Year March-2023
DOI (Digital Object Identifier):
Page No: b203-b209
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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