Aivise – Ai Based Skills and Career Advisor

The complexity of the current career landscape an To mitigate these issues, this paper suggests AI-Based Skills and Career Advisor, a smart full-stack web application that incorporates AI technology for offering users career recommendations, interview preparation support, resume improvement, and industry information. The application will incorporate secure user authentication techniques, user profiling, AI-based recommendations, and online data processing techniques. The application will be developed using Next.js, Flask, SQLite, JWT authentication techniques, and AI model integration using OpenRouter services. The application will ensure secure access control and user analytics for offering efficient career support to users. The proposed application will clearly demonstrate how AI-based applications can improve career decision-making processes through structured data analysis and AI-based content generation techniques. The changing dynamics of technology have created major problems for students and professionals to choose the right career paths. The traditional career guidance system follows a general counseling strategy, limited data analysis, and static resources, which may not offer the best career paths for the students and professionals. Moreover, the individuals also face major problems while preparing for the interview, optimizing the resume for the Applicant Tracking Systems, and understanding the current trends of the industry.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-14
DOI
https://doi.org/10.5281/zenodo.19563757
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Aivise – Ai Based Skills and Career Advisor

Thorat Aditya, Sanap Nilesh, Porwal Jimit, V.S Dhande et al.
Zenodo (CERN European Organization for Nuclear Research)
Internet of Things and AI
article

Aivise – Ai Based Skills and Career Advisor

Thorat Aditya, Sanap Nilesh, Porwal Jimit, V.S Dhande, M.R. Shaikh, Kamble Tanmay
article en

Abstract

The complexity of the current career landscape an To mitigate these issues, this paper suggests AI-Based Skills and Career Advisor, a smart full-stack web application that incorporates AI technology for offering users career recommendations, interview preparation support, resume improvement, and industry information. The application will incorporate secure user authentication techniques, user profiling, AI-based recommendations, and online data processing techniques. The application will be developed using Next.js, Flask, SQLite, JWT authentication techniques, and AI model integration using OpenRouter services. The application will ensure secure access control and user analytics for offering efficient career support to users. The proposed application will clearly demonstrate how AI-based applications can improve career decision-making processes through structured data analysis and AI-based content generation techniques. The changing dynamics of technology have created major problems for students and professionals to choose the right career paths. The traditional career guidance system follows a general counseling strategy, limited data analysis, and static resources, which may not offer the best career paths for the students and professionals. Moreover, the individuals also face major problems while preparing for the interview, optimizing the resume for the Applicant Tracking Systems, and understanding the current trends of the industry.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 3%
Internet of Things and AI
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