Authors: Mr. Akhilesh M. Bhagat, Prof. S. V. Raut
Abstract: The advancement of artificial intelligence and natural language processing has led to the development of intelligent voice assistants capable of performing a wide range of tasks. However, most existing systems such as Siri, Alexa, and Google Assistant lack emotional understanding and real-time adaptability. This paper presents an enhanced version of AURA AI, an intelligent voice assistant built using Python and GPT technology, integrated with emotion recognition and real-time web interaction. The proposed system detects the user's emotional state through speech tone and facial expressions, allowing it to respond more empathetically and contextually. Additionally, real-time web integration enables the assistant to access live information such as weather updates, news, and general knowledge through APIs, providing users with up-to- date and personalized responses. Experimental evaluation demonstrates that the enhanced AURA AI offers improved user engagement, adaptability, and interaction quality compared to traditional voice assistants. This approach contributes toward creating emotionally intelligent and human-like conversational systems for next-generation AI applications.
