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Title: :  A Survey on Skillsense:AI Career Analyzer App
PaperId: :  28348
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 12 Issue 2 2026
DUI:    16.0415/IJARIIE-28348
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Kirti DatirDhole Patil College Of Engineering
Apurva ChavanDhole Patil College Of Engineering
Arti NaleDhole Patil College Of Engineering
Ishwari MhaskeDhole Patil College Of Engineering
Ganesh KendreDhole Patil College Of Engineering

Abstract

Computer Engineering
Artificial Intelligence (AI), Natural Language Processing (NLP), Career Analysis, Skill Gap Detection, Gemini API, React, Django, Resume Parsing, Personalized Learning Systems.
In today’s employment landscape, a clear gap exists between the theoretical knowledge gained in academic institutions and the practical skills expected by industry. Many graduates have limited exposure to real-world problem-solving, industry tools, and applied technical experience, which affects their employability. To address this challenge, this paper introduces SkillSense, an ArƟficial Intelligence-driven career analysis application designed to evaluate individual profiles and provide meaningful insights for professional growth. The proposed system is developed using a modern web architecture that combines a React + Vite frontend for smooth and responsive user interaction with a Django-based backend for managing data processing and application logic. SkillSense makes use of the Gemini API to perform advanced Natural Language Processing (NLP) on unstructured resume data. It extracts, organizes, and interprets important details such as academic background, technical skills, and project experience, and converts them into a structured format suitable for further analysis. The application then performs a detailed skill gap analysis by comparing the extracted user data with current industry requirements. Based on this evaluation, SkillSense generates personalized and context-aware recommendations to help users improve their technical abilities and overall career readiness. These suggestions include structured learning paths, strategies for skill improvement, and project-based tasks that encourage hands-on experience. In addition, the system focuses on scalability, modular design, and ease of use, ensuring efficient data processing and smooth user interaction. By combining AI-based semantic analysis with a fullstack web framework, SkillSense offers an effective and automated solution to reduce the gap between academic learning and industry needs. This approach not only helps individuals make informed career decisions but also supports the development of a more skilled and industry-ready workforce.

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IJARIIE Kirti Datir, Apurva Chavan, Arti Nale, Ishwari Mhaske, and Ganesh Kendre. "A Survey on Skillsense:AI Career Analyzer App" International Journal Of Advance Research And Innovative Ideas In Education Volume 12 Issue 2 2026 Page 1707-1718
MLA Kirti Datir, Apurva Chavan, Arti Nale, Ishwari Mhaske, and Ganesh Kendre. "A Survey on Skillsense:AI Career Analyzer App." International Journal Of Advance Research And Innovative Ideas In Education 12.2(2026) : 1707-1718.
APA Kirti Datir, Apurva Chavan, Arti Nale, Ishwari Mhaske, & Ganesh Kendre. (2026). A Survey on Skillsense:AI Career Analyzer App. International Journal Of Advance Research And Innovative Ideas In Education, 12(2), 1707-1718.
Chicago Kirti Datir, Apurva Chavan, Arti Nale, Ishwari Mhaske, and Ganesh Kendre. "A Survey on Skillsense:AI Career Analyzer App." International Journal Of Advance Research And Innovative Ideas In Education 12, no. 2 (2026) : 1707-1718.
Oxford Kirti Datir, Apurva Chavan, Arti Nale, Ishwari Mhaske, and Ganesh Kendre. 'A Survey on Skillsense:AI Career Analyzer App', International Journal Of Advance Research And Innovative Ideas In Education, vol. 12, no. 2, 2026, p. 1707-1718. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/A_Survey_on_Skillsense_AI_Career_Analyzer_App_ijariie28348.pdf (Accessed : ).
Harvard Kirti Datir, Apurva Chavan, Arti Nale, Ishwari Mhaske, and Ganesh Kendre. (2026) 'A Survey on Skillsense:AI Career Analyzer App', International Journal Of Advance Research And Innovative Ideas In Education, 12(2), pp. 1707-1718IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/A_Survey_on_Skillsense_AI_Career_Analyzer_App_ijariie28348.pdf (Accessed : )
IEEE Kirti Datir, Apurva Chavan, Arti Nale, Ishwari Mhaske, and Ganesh Kendre, "A Survey on Skillsense:AI Career Analyzer App," International Journal Of Advance Research And Innovative Ideas In Education, vol. 12, no. 2, pp. 1707-1718, Mar-App 2026. [Online]. Available: http://ijariie.com/AdminUploadPdf/A_Survey_on_Skillsense_AI_Career_Analyzer_App_ijariie28348.pdf [Accessed : ].
Turabian Kirti Datir, Apurva Chavan, Arti Nale, Ishwari Mhaske, and Ganesh Kendre. "A Survey on Skillsense:AI Career Analyzer App." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 12 number 2 ().
Vancouver Kirti Datir, Apurva Chavan, Arti Nale, Ishwari Mhaske, and Ganesh Kendre. A Survey on Skillsense:AI Career Analyzer App. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2026 [Cited : ]; 12(2) : 1707-1718. Available from: http://ijariie.com/AdminUploadPdf/A_Survey_on_Skillsense_AI_Career_Analyzer_App_ijariie28348.pdf
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