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International Journal of Cloud Computing and Database Management

Impact Factor (RJIF): 5.4, P-ISSN: 2707-5907, E-ISSN: 2707-5915
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2025, Vol. 6, Issue 1, Part A

Job quest: An innovative job-seeking portal


Author(s): Radhika Tayal and Aditya Singh

Abstract: In the digital era, job-seeking platforms play a crucial role in connecting job seekers with potential employers. Job Quest is a MERN stack-based job portal designed to streamline the hiring process by integrating real-time collaboration, AI-driven job recommendations, and an interactive chatbot for career guidance. The platform utilizes Socket.io and Redis to facilitate seamless real-time communication, ensuring efficient interactions between recruiters and candidates. Additionally, AI-powered features using the Gemini API enhance the platform by providing automated resume analysis, skill-based job matching, and AI-assisted code generation for technical assessments. The system is built for scalability with MongoDB Atlas and ensures optimal performance through Web Vitals monitoring. This paper discusses the technical architecture, challenges, and innovative solutions that Job Quest offers to enhance employment accessibility and improve the recruitment experience.

DOI: 10.33545/27075907.2025.v6.i1a.83

Pages: 43-46 | Views: 409 | Downloads: 107

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International Journal of Cloud Computing and Database Management
How to cite this article:
Radhika Tayal, Aditya Singh. Job quest: An innovative job-seeking portal. Int J Cloud Comput Database Manage 2025;6(1):43-46. DOI: 10.33545/27075907.2025.v6.i1a.83
International Journal of Cloud Computing and Database Management

International Journal of Cloud Computing and Database Management

International Journal of Cloud Computing and Database Management
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