Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM61965
Volume:
10 |
4 |
April 2026
Pages:
1-7
Publication Frequency:
Monthly (12 issues per year)
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.
Computer Engineering
Savitribai Phule Pune University
Computer Engineering
Savitribai Phule Pune University
Computer Engineering
Savitribai Phule Pune University
Computer Engineering
Savitribai Phule Pune University
Computer Engineering
Savitribai Phule Pune University
Domain: Web Development. Subdomain: Web Development, EdTech Problem Statement: Many learners struggle to find an engaging, structured platform that allows them to grow as coders while building practical skills. Traditional coding practice websites focus only on problem-solving, lacking personalized feedback, project-building, and AI-based learning paths. Solution: Codenest is a web-based AI-powered platform designed to help coders grow by solving problems, receiving personalized recommendations, and building projects. It provides a live compiler, AI-driven challenge suggestions, and performance analytics. Codenest encourages growth through coding contests, interactive challenges, and community collaboration.
KEYWORDS
The Codenest successfully demonstrates how AI and adaptive learning can transform the developer education ecosystem. By providing a personalized and collaborative environment, Codenest enables coders to grow, build, and engage more meaningfully. The platform focuses not only on solving coding problems but also on shaping developers for real-world challenges.
P. S. Kumar, R. Mehta, and A. Patel, “Design and Implementation of an Interactive Online Coding Platform for Students,” International Journal of Computer Science and Engineering, vol. 12, no. 4, pp. 56–63, 2024. J. Thomas, M. Roy, and S. Das, “Developing WebBased Learning Platforms for Programming Education,” Journal of Web Engineering, vol. 21, no. 2, pp. 145–159, 2024. A. Sharma, P. Gupta, and L. Bhattacharya, “An Integrated Platform for Learning, Practicing, and Evaluating Coding Skills,” IEEE Access, vol. 13, pp. 32141–32152, 2025.
Publication Date
6/5/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
2
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...