P. Satyanarayana, Thupakula Rasagna, Sahithya Ayla, Md Umer 03 04(1) Urban environments generate complex acoustic landscapes with overlapping sound events such as sirens horns and traffic noise making automated monitoring for smart cities public safety and noise pollution control highly challenging Traditional sound classification systems rely on handcrafted features like MelFrequency Cepstral Coefficients MFCCs and logMel spectrograms combined with models such as Support Vector Machines SVMs Random Forests RF or shallow Convolutional Neural Networks CNNs achieving only modest accuracy Emerging from early 2010s research and benchmarked on datasets like UrbanSound8K these approaches suffer key limitations inability to capture semantic audio understanding in overlapping conditions neglect of multilabel correlations lack of interpretability in deep models and dependence on commandline interfaces that limit usability for nonexperts This research proposes a Whisperpowered multitask urban sound classification system with an integrated Graphical User Interface GUI built using Tkinter and secured with rolebased authentication Lightning MemoryMapped Database LMDB and SHA256 hashing It leverages OpenAI Whisperbase as a feature extractor generating robust representations through mean pooling of encoder hidden states from classorganized audio data These features are used to train four interpretable models Boosted Rules Classifier BRC Hierarchical Structural HS Tree Classifier Sparse Linear Integer Model SLIM and Marginal Shrinkage Linear Trees MSLT enabling dualtask classification of primary categories and subcategories The system enhances transparency usability and performance by combining transformerbased representations with interpretable machine learning It democratizes access to explainable artificial intelligence AI for urban monitoring enabling secure visual and multitask sound analysis for realworld smart city applications Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026