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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
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← Back to VOLUME 12, ISSUE 5, MAY 2025

Career Navigator: An AI-Powered E-Learning Platform for Enhanced Coding Interview Preparation

Prof. Meenakshi H, Arunram R, Guruprasad GM, Likith Nirvan

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Abstract: The growing demand for software engineering talent has highlighted the limitations of traditional coding preparation platforms, which often lack personalization, focus, and real-time guidance. This paper presents Career Navigator, a modern, AI-powered e-learning platform tailored for coding interview preparation. Unlike conventional systems, Career Navigator integrates a curated repository of company-specific questions, a multi-language online code editor, and a real-time AI chatbot assistant. Built on a scalable web architecture using technologies like Next.js, MongoDB, and Gemini API, the platform provides a seamless, distraction-free learning experience. Features such as personalized progress tracking, gamified learning paths, and integrated code execution make Career Navigator a comprehensive solution for effective, efficient, and adaptive coding practice. The results demonstrate improved user engagement, reduced preparation time, and higher interview readiness, particularly for candidates targeting top-tier tech companies.

Keywords: AI-based e-learning, coding interview preparation, interactive platform, Gemini API, real-time code editor

How to Cite:

[1] Prof. Meenakshi H, Arunram R, Guruprasad GM, Likith Nirvan, “Career Navigator: An AI-Powered E-Learning Platform for Enhanced Coding Interview Preparation,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2025.125348

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