ENHANCING RAIL MADAD WITH AI-POWERED COMPLAINT MANAGEMENT

Mrs. Bharani Nayagi S; Deepana D; Gayathri V; Kiruthika R

ENHANCING RAIL MADAD WITH AI-POWERED COMPLAINT MANAGEMENT

Authors: Mrs. Bharani Nayagi S, Deepana D, Gayathri V, Kiruthika R

Unique Paper ID: 169659
Volume: 11
Issue: 6
PageNo: 2015-2017

Keywords: Automated complaint categorization NLP-based emergency case detection Predictive maintenance integration Real-time passenger notifications Task allocation frameworks.

Abstract:
The Rail Madad platform, aimed at streamlining passenger complaints, faces challenges in efficiently managing and resolving issues. To address this, our project proposes an innovative complaint management system integrating Natural Language Processing (NLP) and automated task allocation. Our system harnesses AI-powered technologies to automatically detect emergency cases, categorize and prioritize complaints, allocate department-specific tasks, and provide real-time progress updates to passengers. To (1) develop a robust NLP-based complaint categorization model, (2) design an automated task allocation framework, (3) improve complaint resolution speed and accuracy, and (4) enhance passenger satisfaction through transparent progress updates and timely resolutions.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 6
PageNo: 2015-2017

ENHANCING RAIL MADAD WITH AI-POWERED COMPLAINT MANAGEMENT

Available:https://ijirt.org/Article?manuscript=169659

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Journal no 47859

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