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@article{172243,
        author = {Swathi P S and Venkataravana Nayak and Kusuma H and Anitha M and Manasa D S and B K Kavya},
        title = {Voice/textual bot mobile app},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {2512-2520},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172243},
        abstract = {In order to promote effective communication between users and other stakeholders through both structured and unstructured chat conversations, this study investigates the creation of a general Voice/Textual BOT mobile application for the iOS and Android platforms. The BOT can process precise, structured inquiries, like "What is my order status?" and get precise data from backend databases by using sophisticated Natural Language Processing (NLP). Additionally, it interprets the context and responds to unstructured inquiries like "status" by giving information like order progress, delivery updates, payment information, and more. Because of its scalable and flexible architecture, the program can be used for a variety of purposes and is compatible with a large number of software systems. This approach lays the foundation for next developments in conversational AI technology by improving user engagement, expediting information retrieval procedures, and facilitating cross-platform integration.},
        keywords = {Natural language processing, chatbots, virtual assistants, information retrieval, Android applications, artificial intelligence, voice recognition and generation},
        month = {January},
        }