Aurora AI – An AI-Powered Career Optimization Tool

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.

Publication Details

Journal
Iconic Research and Engineering Journals
Published
2025-12-17
DOI
https://doi.org/10.64388/irev9i6-1712907
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Aurora AI – An AI-Powered Career Optimization Tool

Iconic Research and Engineering Journals
Intelligent Tutoring Systems and Adaptive Learning
article

Aurora AI – An AI-Powered Career Optimization Tool

article en

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.

Iconic Research and Engineering JournalsVol. 9(6)
Openalex Percentile: Top 19%
Intelligent Tutoring Systems and Adaptive Learning
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