Virtual Conversational Companion AI

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-15
DOI
https://doi.org/10.5281/zenodo.15424103
Primary Topic
Statistical Methods in Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
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article

Virtual Conversational Companion AI

Zenodo (CERN European Organization for Nuclear Research)
Statistical Methods in Epidemiology
article

Virtual Conversational Companion AI

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 52%
Statistical Methods in Epidemiology
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Virtual Conversational Companion AI · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS