Abstract :

Career Development In Modern Digital Environments Has Become Increasingly Fragmented As Learners Rely On Multiple Platforms For Skill Acquisition, Resume Building, Interview Preparation, And Job Exploration. This Lack Of Integration Often Results In Inefficient Learning Paths And Limited Career Readiness. To Address This Challenge, This Project Introduces AspirePath AI, A Unified, AIpowered Career Advancement System Designed To Provide Personalized Learning Guidance, Automated Resume Generation, Smart Goal Tracking, And Interactive Mentorship Through GPT-4– Based Assistance. The Platform Integrates A React And TypeScript Frontend With A Modular Node.js And Express Backend, Supported By MongoDB Atlas For Scalable Data Management. External APIs Such As OpenAI GPT-4, YouTube Data API, Google Sheets API, And SMTP Services Are Utilized To Deliver Curated Resources, Job Updates, And AI-driven Insights In Real Time. Security Measures, Including JWT Authentication And Rolebased Access Control, Ensure Safe And Authorized Usage. Deployed Through A GitHub-powered CI/CD Pipeline On Vercel, AspirePath AI Offers A Robust, Scalable, And Intelligent Ecosystem That Enhances Learning Efficiency, Practical Skill Development, And Overall Career Readiness For Users Within A Single Integrated Platform.

Published:

07-4-2026

Issue:

Vol. 26 No. 4 (2026)

Page Nos:

1589-1596

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite