Authors: Goutami Bankapure, Rakshita Giri, Nandini Khadakhade, Sneha Teli, Aishwarya shengar, pallavi pandhare
Abstract: The rapid growth of digital gaming has led to increasingly complex behavioral challenges, particularly among adolescents and young adults. Excessive gameplay, exposure to toxic communication, and unhealthy engagement patterns continue to raise concerns regarding digital well-being. Existing monitoring tools typically offer only partial solutions, such as parental controls or time-restriction features, and lack the ability to analyze user behavior holistically. To address these gaps, this research presents the Smart Gaming Supervision System, an integrated AI-driven framework designed to promote healthier gaming habits while reducing abusive interactions. The system combines real-time gameplay duration monitoring, multilingual text toxicity detection, voice-based abusive speech recognition, motivational prompt generation, and behavior-based reward mechanisms. Leveraging state-of-the-art technologies such as XLM-R transformer models for text analysis, Whisper-based speech-to-text pipelines, and a rule-based behavioral engine supported by SQLite storage, the system continuously evaluates player behavior across multiple channels. Real-time alerts, warnings, and positive reinforcement are generated to encourage self-regulation and promote responsible gaming. Experimental evaluation demonstrates that the system achieves high accuracy in toxicity detection, effective time-limit enforcement, and improved user engagement through positive reinforcement techniques. The proposed solution highlights the potential of combining machine learning, psychology-driven reward systems, and digital wellness principles to create a comprehensive, scalable, and user-centric gaming supervision platform. This work contributes a novel and practical approach toward fostering safe, balanced, and respectful digital gaming environments.
