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  Published Paper Details:

  Paper Title

SMART COMPLAINT MANAGEMENT SYSTEM WITH AI-POWERED PRIORITIZATION AND ESCALATION

  Authors

  Deo Aniket,  Ghule Tanmay,  Ghodechor Vaishnavi,  Gavhane Rutuja,  Narode Priyanka

  Keywords

Complaint Management, Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Prioritization, Escalation, Sentiment Analysis, Real-Time Tracking, Automation, User Satisfaction

  Abstract


Efficient complaint management is essential in educational institutions to promptly resolve issues raised by students and faculty across multiple departments. Traditional manual systems often lack timely prioritization and routing, causing delays and dissatisfaction. This paper presents a smart complaint management system integrating artificial intelligence techniques such as natural language processing and sentiment analysis for automated complaint classification, urgency detection, and priority assignment. The system features AI-powered escalation of unresolved or critical complaints and provides real-time dashboards for transparent tracking by administrators and users. Drawing insights from authoritative journal research on AI-powered feedback management and comprehensive surveys of complaint management systems, this college-tailored solution significantly improves responsiveness, accountability, and operational efficiency. The approach offers scalable benefits for similar institutional complaint handling frameworks, aiming to harness AI-driven automation for enhanced service delivery.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2510624

  Paper ID - 295519

  Page Number(s) - f295-f300

  Pubished in - Volume 13 | Issue 10 | October 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Deo Aniket,  Ghule Tanmay,  Ghodechor Vaishnavi,  Gavhane Rutuja,  Narode Priyanka,   "SMART COMPLAINT MANAGEMENT SYSTEM WITH AI-POWERED PRIORITIZATION AND ESCALATION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 10, pp.f295-f300, October 2025, Available at :http://www.ijcrt.org/papers/IJCRT2510624.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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