ZenCode: A Unified AI-Driven Framework for Holistic Placement Preparation through Automated Skill Assessment and Interview Simulation
Abstract
The transition from academic environments to professional career landscapes presents significant hurdles for students, requiring a multi-faceted approach to skill development. While independent tools for coding or resume building exist, there is a lack of integrated platforms offering a cohesive preparation journey. This paper introduces ZenCode, a one-stop placement preparation solution featuring four integrated modules: Aptitude, Company-wise Data Structures and Algorithms (DSA), AI-Assisted Resume Building, and AI Mock Interviewing. We detail the system architecture, which follows a modern MERN (MongoDB, Express, React, Node.js) stack , and the integration of Generative AI services for personalized feedback. We evaluate the system’s effectiveness in enhancing student readiness for technical and soft-skill evaluations.
Fields of Study & Subjects
Intelligent Tutoring Systems and Adaptive Learning
Online Learning and Analytics
Teaching and Learning Programming
Publication details
- Journal / source
- International Journal on Advanced Computer Engineering and Communication Technology
- Publisher
- Researcher Connect Innovation and Impact Private Limited and MRI
- Volume
- 15
- Issue
- 1
- Pages
- 49–55
- Publication date
- 16 March 2026