Abstract
In today's cutthroat job market, nailing an interview can make or break your career dreams yet most prep methods fall short on real talk, personal touch, and honest feedback. Enter Interview Forge: an AI-driven mock interview platform that feels like the real deal. It crafts job-tailored questions using smart AI, breaks down your answers with natural language processing, and dishes out clear feedback, performance breakdowns, and tips to level up. Plus, it tracks your progress over time, turning shaky nerves into rock-solid confidence. Traditional prep like flipping through question lists or awkward peer practices often misses the mark on realism and customization, leaving candidates guessing about their weak spots. Interview Forge steps in with a web-based powerhouse blending AI, NLP, and slick tech to mimic technical, HR, behavioral, or role-specific interviews across industries. By parsing your resume, grasping job needs, generating dynamic questions, and delivering data-smart insights, it bridges the gap from book smarts to interview stardom.
Keywords
Artificial Intelligence, Mock Interview System, Natural Language Processing, Interview Preparation
Citations
IRE Journals:
Heena Kachhela, Sakshi Modak, Sakshi Zode, Sanika Pawar, Srushti Bhole "AI-Driven Interview Preparation Platform for Real-Time Feedback and Analysis" Iconic Research And Engineering Journals Volume 9 Issue 10 2026 Page 1824-1830 https://doi.org/10.64388/IREV9I10-1716337
IEEE:
Heena Kachhela, Sakshi Modak, Sakshi Zode, Sanika Pawar, Srushti Bhole
"AI-Driven Interview Preparation Platform for Real-Time Feedback and Analysis" Iconic Research And Engineering Journals, 9(10) https://doi.org/10.64388/IREV9I10-1716337
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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