Virtual Conversational Companion AI
Year: 2025
Type: article
Abstract: This paper presents the development of a Virtual Conversational Companion AI, designed to create engaging and structured interactions. The system features a customizable Virtual model, allowing users to choose a character with distinct personality traits, making conversations more relatable and enjoyable. To maintain consistency and relevance, structured dialogue flows are implemented, ensuring meaningful exchanges. The chatbot also incorporates phoneme-based lip-syncing to align speech with facial movements, creating a more natural and immersive experience. The user interface is built using Flutter, providing smooth performance across different platforms, while a Flask-based backend manages interactions efficiently. Subtitles have been included to improve readability and accessibility, making conversations easier to follow. By enhancing digital interactions with expressive visuals and structured responses, this system aims to offer companionship and support in various social settings. This paper discusses the design process, implementation strategies, and potential applications of the project.
Authors: Aadityan Harindran, Narthana Prasanth, Seetha Lakshmi K A P, Nadha AP, Rajitha K.V
Language: English
Topic: Speech and dialogue systems
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6930944802
FWCI:
Cites:
Cited by:
Related to: