Career Elevate

Authors

  • M.Sravanthi Assistant Professor, Department of Information Technology, Bhoj Reddy Engineering College for Women Author
  • Aligeti Puneetha, Vuppala Sai Srija, Routhu Shriya B,tech students, Department of Information Technology, Bhoj Reddy Engineering College for Women Author

DOI:

https://doi.org/10.62647/IJITCE2025V13I3PP75-82

Keywords:

AI-assisted, Career development platform, Job readiness, Resume generation, Mock interviews, Real-time feedback, Customization, Gemini API, NeonDB, Full-stack architecture.

Abstract

In a competitive job market, individuals often struggle to craft compelling professional documents and prepare effectively for interviews. Traditional platforms frequently lack customization, real- time feedback, and industry-specific insights. To address this gap, we present Career Elevate, a modern, AI-assisted career development platform designed to streamline and personalize the job readiness process.
Built using Next.js and Node.js for a responsive full-stack architecture, with Tailwind CSS and ShadCN for a clean and interactive user interface, Career Elevate enables users to generate resumes, cover letters, and receive curated mock interview questions. The platform uses NeonDB for efficient cloud-native database management and leverages the Gemini API to generate context-aware content, deliver tailored career suggestions, and offer real-time assistance.
Career Elevate focuses on enhancing user experience by combining cutting-edge web development tools with AI-driven content generation. Rather than relying on complex machine learning pipelines, the system integrates API-based intelligence to keep the solution lightweight, scalable, and accessible. The result is a unified platform that empowers users to elevate their career profiles with ease, accuracy, and confidence.

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Published

22-07-2025

How to Cite

Career Elevate. (2025). International Journal of Information Technology and Computer Engineering, 13(3), 75-82. https://doi.org/10.62647/IJITCE2025V13I3PP75-82