Zoro: Empowering Job Seekers with Technical Interview Preparation and AI Guidance

Registration ID: IJNRD_217554

Published ID: IJNRD2404375

DOI: Click Here to Get

Abraham Prabakar , Arul Selvam, S , Gokul Janarthanan. S , Elangkumaran U.J

Artificial Intelligence, Machine Learning, Natural Language Processing, Python, Streamlit, Cohere, API, Amazon, HTML, CSS, JavaScript, Web Application

Zoro offers a multifaceted solution to address the challenges faced by job seekers in technical interview preparation. Our platform comprises two key features: the Prepare feature and the Interview Bot. Job seekers often struggle to find high-quality and relevant resources for preparing for technical interviews across various job roles and industries. Additionally, the lack of personalized guidance and feedback leaves many candidates feeling unprepared and uncertain about their interview performance. Furthermore, the ever-evolving nature of interview questions and techniques necessitates a dynamic and adaptable approach to interview preparation. In today's competitive job market, technical interviews serve as critical checkpoints for candidates aiming to secure positions in various industries. However, job seekers often encounter significant challenges in adequately preparing for these interviews. Users can access an extensive collection of PDF files with interview preparation materials for a variety of employment roles using Zoro's Prepare feature. These carefully chosen materials address a broad spectrum of technical subjects and issues unique to certain industries. Job seekers may confidently and easily peruse and download these resources for free, giving them the tools they need to adequately prepare for their future interviews.

Published Paper   E-Certificate

Abraham Prabakar, Arul Selvam, S, Gokul Janarthanan. S, & Elangkumaran U.J (April-2024). Zoro: Empowering Job Seekers with Technical Interview Preparation and AI Guidance . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), d682-d685. https://ijnrd.org/papers/IJNRD2404375.pdf

Volume 9 Issue 4, April-2024

Pages : d682-d685

Paper Reg. ID: IJNRD_217554

Published Paper Id: IJNRD2404375

Downloads: 000121983

Research Area: Computer Engineering 

Country: Chennai, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404375.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404375

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper - Volume 10 | Issue 10 | October 2025

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