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  Published Paper Details:

  Paper Title

AI-Powered Animated Product Guide with Interactive Chatbot Assistance

  Authors

  Dr. Smitha Kurian,  Prajval V K,  Sainath K,  Sampreeth S N,  Mithun B P

  Keywords

Artificial Intelligence, Animated Product Guide, Interactive Chatbot, Talking-Head Animation, Text-to-Speech, Natural Language Processing.

  Abstract


AI-powered animated product guides with interactive chatbots are transforming customer engagement by delivering immersive, personalized, and scalable experiences. Integrating realistic talking-head animations, text-to-speech (TTS) technologies, voice cloning, and large language model (LLM)driven chatbots powered by natural language processing (NLP), these systems enhance user interaction across industries. This survey examines the enabling technologies, reviews historical and recent advancements, and evaluates applications in e-commerce, education, healthcare, and customer support. A comparative analysis highlights trade-offs in animation quality, speech naturalness, and computational efficiency. Challenges, including ethical concerns, scalability, and user trust, are analyzed, alongside future directions for improving accessibility and interactivity. This paper provides a comprehensive foundation for researchers and practitioners in this interdisciplinary field.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2506008

  Paper ID - 288357

  Page Number(s) - a62-a69

  Pubished in - Volume 13 | Issue 6 | June 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Dr. Smitha Kurian,  Prajval V K,  Sainath K,  Sampreeth S N,  Mithun B P,   "AI-Powered Animated Product Guide with Interactive Chatbot Assistance", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 6, pp.a62-a69, June 2025, Available at :http://www.ijcrt.org/papers/IJCRT2506008.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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