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Hiresmart - AI Based Interview Coach and Placement Portal
Subject area: Science,Engineering and Technology · Area of research: AI And ML
DOI: 10.64388/IREV9I10-1716652
Abstract
HireSmart - Imagine a tool that watches how you speak, react, and answer during practice interviews. It studies your voice, face, pauses, and what you know. Instead of just grading, it learns your habits through smart algorithms. From those insights comes custom advice tailored only to you. Feedback shows where you rush, hesitate, or shine unexpectedly. Suggestions point toward gaps in knowledge or delivery quirks. Over time, users grow sharper at presenting themselves under pressure. Employers gain access to better-prepared applicants who’ve refined real skills. This platform connects both sides without extra steps or delays. Preparation becomes focused, personal, less like guessing. HireSmart reshapes hiring by blending speed with clarity, one smart step at a time. Candidates gain real insight - not guesswork - helping them stand out where it counts. Decisions shift from gut feelings to clear signals pulled straight from patterns in the data. Transparency becomes normal, not rare. Efficiency rises when tools learn what works. Success leans less on luck now, more on knowing.
References
[1] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 4th ed., Pearson Education, 2021.→ Used for overall AI decision-making, evaluation, and intelligent systems concepts.
[2] C. D. Manning, P. Raghavan, and H. Schütze, Introduction to Information Retrieval, Cambridge University Press, 2008.
[3] S. Bird, E. Klein, and E. Loper, Natural Language Processing with Python, O’Reilly Media, 2009.
[4] J. Han, M. Kamber, and J. Pei, Data Mining: Concepts and Techniques, 3rd ed., Morgan Kaufmann, 2011.
[5] K. Kowsari et al., “Text Classification Algorithms: A Survey,” Information, vol. 10, no. 4, 2019.
[6] R. Feldman and J. Sanger, The Text Mining Handbook, Cambridge University Press, 2007.
[7] M. L. Mahajan and P. M. Gokhale, “Artificial Intelligence in Recruitment and Selection Process,” International Journal of Engineering Research & Technology (IJERT), vol. 9, no. 6, 2020.
[8] A. Upadhyay and K. Khandelwal, “Applying Artificial Intelligence: Implications for Recruitment,” Strategic HR Review, vol. 17, no. 5, 2018.
[9] T. Joachims, “Text Categorization with Support Vector Machines,” European Conference on Machine Learning, Springer, 1998.
[10] IEEE Standards Association, “Ethically Aligned Design: A Vision for Prioritizing Human Well-being with AI,” 2019.
How to cite this paper
@article{1716652,
author = {Dr. Geetanjali Vivek Kale, Prathamesh Sachin Chavan, Sahil Sanjay Chavan, Yash Patel},
title = {Hiresmart - AI Based Interview Coach and Placement Portal},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {2339-2345},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1716652.pdf},
abstract = {HireSmart - Imagine a tool that watches how you speak, react, and answer during practice interviews. It studies your voice, face, pauses, and what you know. Instead of just grading, it learns your habits through smart algorithms. From those insights comes custom advice tailored only to you. Feedback shows where you rush, hesitate, or shine unexpectedly. Suggestions point toward gaps in knowledge or delivery quirks. Over time, users grow sharper at presenting themselves under pressure. Employers gain access to better-prepared applicants who’ve refined real skills. This platform connects both sides without extra steps or delays. Preparation becomes focused, personal, less like guessing. HireSmart reshapes hiring by blending speed with clarity, one smart step at a time. Candidates gain real insight - not guesswork - helping them stand out where it counts. Decisions shift from gut feelings to clear signals pulled straight from patterns in the data. Transparency becomes normal, not rare. Efficiency rises when tools learn what works. Success leans less on luck now, more on knowing.},
month = {April},
doi = {https://doi.org/10.64388/IREV9I10-1716652}
}