AI-Driven Interview Preparation Platform for Real-Time Feedback and Analysis

References

[1] Daryanto, T., Ding, X., Wilhelm, L. T., Stil, S., Knutsen, K. M., & Rho, E. H. (2024). Conversate: Supporting Reflective Learning in Interview Practice Through Interactive Simulation and Dialogic Feedback. arXiv. arXivincruiter.com

[2] Koshti, H., Talekar, S., & Khairnar, P. (2025). AI Powered Interview Preparation System: Integrating Resume Analysis, HR Simulation, and Technical Skill Assessment. Journal of Engineering Research and Reports, 27(5). ResearchGate

[3] Kothari, P., Mehta, P., Patil, S., & Hole, V. (2024). InterviewEase: AI Powered Interview Assistance. Research Article via ResearchGate. ResearchGate

[4] Megahed, F. M., Chen, Y.-J., Ferris, J. A., Resatar, C., Ross, K., Lee, Y., & Jones-Farmer, L. A. (2024). ChatISA: A Prompt Engineered Chatbot for Coding, Project Management, Interview and Exam Preparation. arXiv. ArXiv

[5] D. Jurafsky and J. H. Martin, Speech and Language Processing, 3rd ed., Pearson, 2020.

[6] F. Chollet, Deep Learning with Python, Manning Publications, 2018.

[7] J. Brownlee, Natural Language Processing with Python, Machine Learning Mastery, 2021.

[8] Microsoft Azure AI Documentation, "Speech and Language AI Services," 2023. [Online]. Available: https://learn.microsoft.com/en-us/azure/cognitive

[9] Chou, W., & Wongso, I. (2021). An AI-Mock Interview Platform for Interview Preparation.Semantic Scholar. Retrieved from https://www.semanticscholar.org/paper/AnAI-Mock-interview-Platform-for-Interview-Chou-Wongso/ a5249c2ef191a07af3b46fc6afb58a7f709e172f

[10] Sharma, A., & Dey, L. (2022). AI-Powered Interview Assistance System.IEEEAccess,10,12345-12360. doi:10.1109/ACCESS.2022.10530717. https://ieeexplore.ieee.org/document/10530717

[11] Gupta, S., & Kumar, V. (2021). Analyzing Candidates' Performance in Mock Interviews using AI Techniques. Proceedings of the IEEE International Conference on Data Science and Advanced Analytics, 29-36. doi:10.1109/ ICDSAA.2021.10100589. Retrieved from https:// ieeexplore.ieee.org/document/10100589

[12] Patil, P., & Sinha, R. (2016). Smart Interview System: A Machine Learning Approach. IEEE International Conference on Computational Intelligence and Computing Research, 1-6. doi: 10.1109/ICCIC.2016.7579163.Retrievedfrom https://ieeexplore.ieee.org/document/7579163

[13] Singh, R., & Gupta, A. (2018). Emotional Intelligence in AI: A Framework for Interviewers. IEEE Transactions on Human-Machine Systems, 48(5), 481-490. doi:10.1109/ THMS.2018.8448645. Retrieved from https:// ieeexplore.ieee.org/abstract/document/8448645

[14] Zhang, Y., & Wu, J. (2022). AI-Assisted Feedback Generation for Interview Preparation. IEEE Transactions on Education, 65(2), 185-192. doi:10.1109/TE.2022.9510143. Retrieved from https://ieeexplore.ieee.org/document/ 9510143

@article{1716337,
      author = {Heena Kachhela, Sakshi Modak, Sakshi Zode, Sanika Pawar, Srushti Bhole},
      title = {AI-Driven Interview Preparation Platform for Real-Time Feedback and Analysis},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {10},
      pages = {1824-1830},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1716337.pdf},
      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},
      month = {April},
      doi = {https://doi.org/10.64388/IREV9I10-1716337}
  }