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@article{176783,
        author = {Madhusree M and Arishkumar N and Aravind R and Abubakker Sidhik K and R. RESHMA},
        title = {Emotional Support System using AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {6651-6660},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176783},
        abstract = {This paper presents a comprehensive emotional support system that leverages artificial intelligence to provide personalized psychological assistance. The system combines natural language processing, voice cloning technology, sentiment analysis, and multimodal interaction to create a supportive conversational agent that can understand and respond to user emotions. By integrating users' WhatsApp chat history and personal data, the system creates a familiar and comforting presence. The implementation utilizes the SentenceTransformer model for semantic understanding, incorporates voice cloning for authentic audio responses, and employs Gemini for image generation capabilities. The system is developed using Flask framework for the backend, SQL for data management, and HTML/CSS/JavaScript for the frontend interface. Experimental results demonstrate that personalized emotional support systems can significantly improve user engagement and psychological well-being. The system architecture, implementation details, performance evaluation, and future directions are discussed in this paper.},
        keywords = {emotional support, artificial intelligence, voice cloning, sentiment analysis, natural language processing, multimodal interaction, personalized chatbot},
        month = {April},
        }