Year: 2025
Type: article
Abstract: — This research paper explores the development, functionality, and impact of CodeEdu, an AI-integrated, realtime collaborative platform for coding practice, online assessments, and technical interviews. Developed using the MERN stack with Socket.IO and WebRTC, it features a dynamic DSA problem-solving interface with support for C++, JavaScript, Python, and Java. CodeEdu integrates Google Gemini AI to offer error explanation, solution guidance, and intelligent hint generation. The platform’s secure interview module includes real-time proctoring, ESC key tracking, email-based room access, and face-to-face interviews with video calling and live code sharing via sockets. Users can also upload custom problems for personalized practice. With responsive UI, real-time collaboration, and scalable architecture, CodeEdu benefits students, educators, and recruiters alike. Future enhancements include mobile support, code grading, and adaptive AI learning paths to meet evolving academic and industry demands.
DOI: 10.55041/ijsrem44977
Author: Shivam Kashyap
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: bronze
OpenAlex ID: W4409690144