Smart AI Based Online Platform for Competitive Coding, Technical Interview, Assessments and Recruitment

DOI

10.2991/978-94-6463-858-5_122How to use a DOI?

Keywords

Competitive Programming; Hackathons; Online Assessments; Technical Recruitment; AI-Based Evaluation; Real-Time Code Execution; Adaptive Learning; Skill Development; Performance Analytics; Unbiased Hiring

Abstract

The rapid growth of technology has highlighted the increasing need for strong problem-solving abilities and algorithmic thinking in both academic and professional settings. As a result, competitive programming, coding challenges, and hackathons have become invaluable tools for developing and assessing these critical skills. These events not only benefit students and professionals but also serve as effective recruitment platforms for organizations seeking top talent. This project introduces a cutting-edge online platform designed to host and manage hackathons, as well as provide real-time coding assessments. The platform, named Elastic Web, integrates structured learning pathways and interactive competitions to promote skill development. Built using Flask for the backend and HTML, CSS, and JavaScript for the front-end, Elastic Web ensures seamless user experiences and robust functionality. A standout feature of the platform is the integration of Deep Seek AI, which generates custom coding questions for hackathons. This intelligent system leverages advanced algorithms to create dynamic and challenging questions, enhancing the diversity of coding challenges available to participants. Additionally, Elastic Web allows admins to easily upload questions via CSV files, simplifying the process of question management. Uploaded questions are automatically entered into the database, making it easier to organize and scale hackathons. With the ability to host hackathons, this platform creates an inclusive environment where participants are evaluated based on their performance, rather than educational background or institutional reputation. It provides recruiters with valuable insights into a candidate’s problem-solving capabilities and technical expertise, significantly improving the talent acquisition process. Features such as user authentication, real-time code execution, and performance-based scoring contribute to the fairness and transparency of the platform’s evaluations. By offering continuous opportunities for participants to engage in real-world coding challenges, Elastic Web bridges the gap between theoretical knowledge and practical application, empowering users to enhance their careers through skill-based learning and interactive hackathons.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Shanid Malayil
AU  - M . Jasim
AU  - K.  Mohammed Nishan
AU  - P. K. Fameel Yaseen
AU  - A. K. Mubeena
PY  - 2025
DA  - 2025/11/04
TI  - Smart AI Based Online Platform for Competitive Coding, Technical Interview, Assessments and Recruitment
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 1481
EP  - 1495
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_122
DO  - 10.2991/978-94-6463-858-5_122
ID  - Malayil2025
ER  -