Real-Time Speech Interface For AI-Driven Knowledge Delivery And Control Operation

As smart systems have gotten better, Conversational AI has made it much easier for people and machines to speak to each other. This paper talks about a system that uses voice assistant technology and “natural Language Processing (NLP)” to give task-based, actual-time answers. This concept uses a Retrieval-Augmented generation (RAG) paradigm to dynamically construct contextually appropriate responses, especially when answering inquiries regarding public or private organizations. this is different from traditional systems that have shallow command hierarchies. The system gets spoken commands using a custom voice interface, uses AI-based speech recognition to understand them, and then uses Arduino-powered motors to carry out the operations that are needed. the general design does a good job of combining AI and IoT to make features like voice interaction, directional navigation, and gesture engagement possible. The design shows how intelligent systems that use dialogue can be used in mobile apps that let people talk to each other.