Abstract
An AI-powered career optimization tool called Aurora AI gives job seekers real-time, useful insights into their LinkedIn profiles and resumes while putting privacy first.In order to ensure that personal data never leaves the user's device, it was designed as a browser-based Single Page Application (SPA) with 100% client-side processing. The system uses the Google Gemini API to offer quantitative scoring (Resume Fit Score, ATS Compatibility, Profile Completeness), customised improvement recommendations that align with specific job descriptions, and keyword gap analysis. A context-aware AI chat assistant enables interactive, follow-up guidance based on the most recent analysis results. Through serverless architecture and secure API key handling, Aurora AI prioritises security while offering a visually appealing Aurora-themed user interface, accessibility compliance, and responsive design. The only resume formats supported at the moment are PDFs and manual LinkedIn input. Keywords: Prompt Engineering, Gemini API, Ameena AI, Intelligent Tutoring Systems, Personalised Learning, Multimodal Learning, Self-Regulated Learning, Artificial Intelligence in Education, and React SPA. In the future, browser extensions, user accounts, and compatibility with.docx will be added. Aurora AI fills the gap between individualised, privacy-preserving career counselling and generic applicant tracking systems.
Keywords
Career Optimisation Driven by AI, Privacy-Preserving Resume Analysis, Client-Side Processing, Compatibility with Applicant Tracking Systems (ATS), and Context-Aware Conversational Assistant
Citations
IRE Journals:
Dr. M Rajasekaran, Sayed Abdul Biya Bani, Tallapaneni Lakshmi Srivardhan, Penigi Siva Nagendra Rama Lakshmi Deepak, Vavilli Audi Shankar "Aurora AI – An AI-Powered Career Optimization Tool" Iconic Research And Engineering Journals Volume 9 Issue 6 2025 Page 1241-1248 https://doi.org/10.64388/IREV9I6-1712907
IEEE:
Dr. M Rajasekaran, Sayed Abdul Biya Bani, Tallapaneni Lakshmi Srivardhan, Penigi Siva Nagendra Rama Lakshmi Deepak, Vavilli Audi Shankar
"Aurora AI – An AI-Powered Career Optimization Tool" Iconic Research And Engineering Journals, 9(6) https://doi.org/10.64388/IREV9I6-1712907
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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