<b>Personalised AI Assistant Using Generative Artificial Intelligence</b>

This technical seminar report presents the development and study of a <b>Personalised AI Assistant using Generative Artificial Intelligence</b>, focusing on the design, methodology, and personalization strategies that enhance human–computer interaction. The project investigates conversational AI systems that employ <b>natural language processing (NLP)</b> and <b>machine learning (ML)</b> to simulate human-like dialogue and deliver intelligent responses.The report explores personalization through <b>user profiling</b>, <b>contextual awareness</b>, and <b>adaptive learning</b>, improving chatbot engagement and satisfaction. Extensive literature surveys and data analysis reveal the effectiveness of personalized AI in streamlining communication, automating responses, and supporting real-world applications in education and customer service.The study also highlights ethical implications, data privacy, and future research directions such as integrating <b>emotion recognition</b>, <b>multimodal interaction</b>, and <b>cross-platform personalization</b>. The work underscores how generative AI can advance user-centric virtual assistants capable of enhancing accessibility, productivity, and trust in AI-driven systems.