Volume 2 - Issue 3, May - June 2026

The AI-Based Complaint Classification System is designed to analyze and categorize usersubmitted complaints using Natural Language Processing and machine learning techniques. Traditional complaint management systems rely heavily on manual processing, where complaints are reviewed and categorized by human operators. This often leads to delays, inconsistencies, and inefficiencies, especially when handling large volumes of complaints.The proposed system provides a web-based platform where users can submit complaints in text format. These complaints are processed using a structured pipeline consisting of text preprocessing, feature extraction using TF-IDF, and classification using machine learning algorithms. The system converts unstructured complaint data into structured information by identifying the appropriate category such as Theft, Billing, Technical Issues, Infrastructure Problems, and Public Safety.The classified results are stored in a database and displayed through a user interface, enabling efficient tracking and management of complaints. This approach reduces manual effort, improves classification accuracy, and enhances the speed of complaint processing. The system demonstrate show artificial intelligence can improve complaint management systems by enabling automated decision-making and efficient data handling.

Sabareeswari N, Usha Devi M,"The AI-Based Complaint Classification System" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(3): Page(745-752) May-June 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.