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@article{184199,
        author = {Vinyasa H N and J Girija},
        title = {AI Driven Child Chatbot},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {541-547},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184199},
        abstract = {Child safety awareness is an essential aspect of digital education, requiring innovative and engaging approaches to help children and adults understand risk scenarios. This project introduces an AI-driven child persona chatbot developed using Streamlit and multimodal interaction techniques. The system enables natural conversations through both text and speech, leveraging speech recognition for user input and text-to-speech synthesis for AI responses. A curated persona-based dataset allows the chatbot to simulate diverse child roles, each providing unique responses to safety-related queries. The chatbot architecture integrates real-time voice processing, session-based conversation logs, and a responsive chat interface to enhance user engagement. Experimental implementation demonstrates that this chatbot promotes interactive learning, empathy building, and situational awareness in child safety education. The project highlights the effectiveness of combiningpersona-driven dialogues with multimodal AI for scalable, engaging, and educational applications.},
        keywords = {Child Safety, AI Chatbot, Speech Recognition, Text-to-Speech, Streamlit, Persona Simulation, Multimodal Interaction},
        month = {September},
        }