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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM44977

CodeEdu- Code, Compile, Collaborate

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10.55041/IJSREM44977

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Monthly (12 issues per year)

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10.55041/IJSREM44977

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SK

Shivam Kashyap

PS

Priyanshu Sanki

PV

Pratham Verma

VS

Vishwa Surad

PAG

Prof. Ashwini Gaikwad

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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.

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Cite This Article

Shivam Kashyap, Priyanshu Sanki, Pratham Verma, Vishwa Surad, Prof. Ashwini Gaikwad, "CodeEdu- Code, Compile, Collaborate," International Journal of Scientific Research in Engineering and Management, Apr 2025. https://doi.org/10.55041/IJSREM44977

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4/19/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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