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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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Volume 9 | Issue 5
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| Paper Title: | Zoro: Empowering Job Seekers with Technical Interview Preparation and AI Guidance |
| Authors Name: | Abraham Prabakar , Arul Selvam, S , Gokul Janarthanan. S , Elangkumaran U.J |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_217554
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| Published Paper Id: | IJNRD2404375 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | 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. |
| Keywords: | Artificial Intelligence, Machine Learning, Natural Language Processing, Python, Streamlit, Cohere, API, Amazon, HTML, CSS, JavaScript, Web Application |
| Cite Article: | "Zoro: Empowering Job Seekers with Technical Interview Preparation and AI Guidance ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.d682-d685, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404375.pdf |
| Downloads: | 00031 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2404375 Registration ID: 217554 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: d682-d685 Country: Chennai, Tamil Nadu, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404375 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404375 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
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