Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM31928
Volume:
8 |
4 |
Apr 2024
Pages:
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.
In an increasingly competitive job market, effective interview preparation is essential for job seekers to showcase their skills and secure their desired positions. This project introduces an AI-powered interview preparation platform that harnesses the power of LLM, Langchain, OpenAI, and other advanced technologies to provide a personalized and effective preparation experience. The platform’s Vue.js front end presents a user-friendly interface where candidates can enter their name and job title. Leveraging the Serp API, the platform retrieves relevant information from the candidate’s LinkedIn profile, including work experience, technology stack, and other pertinent details. Utilizing a combination of LLM, Langchain, and OpenAI technologies, the platform generates personalized interview questions tailored to the candidate’s unique skillset and experience. These questions cover both technical and HR-related aspects, ensuring comprehensive preparation for various interview scenarios. The platform’s Python and Flask-based backend handles user input processing, LinkedIn data retrieval, and interview question generation. It facilitates seamless communication between the front-end and back-end components, providing a smooth user experience. By providing personalized questions, efficient data processing, and a user-friendly interface, this AI-powered interview preparation platform surpasses the limitations of traditional preparation methods. It empowers job seekers to prepare effectively for interviews, enhancing their chances of success in a competitive job market.
KEYWORDS
Publication Date
12/31/45414
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
1
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...