AI-Driven Grievance Redressal System for Public Service Enhancement
[1]Dr. M. SUGANTHI [2]K.AJAY, [3]R.GAYATHRI, [4] S.PRASHEETHA
[1]M.E Professor ,Department of Information Technology, kongunadu College of Engineering and Technology
[2] B.Tech Student ,Department of Information Technology, kongunadu College of Engineering and Technology
[3]B.Tech Student ,Department of Information Technology, kongunadu College of Engineering and Technology
[4] B.Tech Student ,Department of Information Technology, kongunadu College of Engineering and Technology
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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.
Key Words: AI Grievance Redressal, NLP, Chatbot, Public Service Efficiency, OpenCV, Complaint Automation, Secure Authentication, Cloud-based System.
1. INTRODUCTION
