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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM42678

AI-Driven Grievance Redressal System for Public Service Enhancement

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM42678

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem42678

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DMS

Dr. M. SUGANTHI

K

K.AJAY

R

R.GAYATHRI

S

S.PRASHEETHA

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Abstract

– The growing demand for parking in densely populated urban areas has led to significant challenges, including congestion, inefficient space utilization, and frustration among drivers. Traditional parking systems often struggle to manage high volumes of vehicles, resulting in wasted time and increased environmental impact. The Automated Car Parking System (ACPS) addresses these issues by using advanced sensor technologies to monitor parking space availability in real-time. The system provides accurate, up-to-date information to drivers, guiding them to open parking spaces and improving overall traffic flow. If all parking spots are occupied, the system automatically closes the parking entrance to prevent further congestion. This automated approach reduces the time spent searching for parking, optimizes space usage, and alleviates traffic congestion. The ACPS offers a seamless, efficient, and user-friendly parking experience, particularly suited for busy urban environments, shopping malls, office complexes, and public parking areas. By enhancing the efficiency of parking operations, the system contributes to a more sustainable and convenient urban transport experience.

KEYWORDS

AI Grievance Redressal NLP Chatbot Public Service Efficiency OpenCV Complaint Automation Secure Authentication Cloud-based System

Cite This Article

Dr. M. SUGANTHI, K.AJAY, R.GAYATHRI, S.PRASHEETHA, "AI-Driven Grievance Redressal System for Public Service Enhancement," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025. https://doi.org/10.55041/ijsrem42678

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Publication Date

3/20/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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