International Journal For Multidisciplinary Research

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A Modular Framework for Intelligent Virtual Assistant Development: Bridging Frontend and Backend Innovations

Author(s) Mr. Priyanshu Gupta, Mr. Gaurav Singh, Mr. R Radha Krishnan
Country India
Abstract This paper presents a lightweight virtual assistant system designed with modularity and scalability in mind. The assistant integrates Python’s multiprocessing capabilities with a web-based interface, offering features such as hotword detection, command execution, and real-time interaction. By leveraging a combination of backend robustness and frontend interactivity, the system achieves a user-friendly and responsive experience, providing insights into virtual assistant development and its challenges. The paper also discusses challenges encountered during development and strategies to overcome them, positioning this work as a useful reference for similar lightweight systems. Additionally, potential future advancements in virtual assistant technologies are explored, aiming to contribute to ongoing research and development in this field. oreover, the paper explores how edge computing paradigms have reshaped the design of virtual assistants, enabling localized data processing and enhancing system privacy and latency. Detailed evaluations highlight the system's superior response times, high command reliability, and robust hotword detection across varied environments. This research underscores the importance of modularity in developing scalable systems and presents a pathway for future enhancements, including advanced AI integrations, multilingual support, and IoT device control.
Keywords Virtual Assistant, Lightweight, Architecture, Hotword, Detection, Python, Multiprocessing, Web-Based, Interface, Localized, Deployment, Command, Execution, Modular, Design, Real-Time Interaction, User-Centric Development, Scalability, Edge Computing.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 2, March-April 2025
Published On 2025-04-10
DOI https://doi.org/10.36948/ijfmr.2025.v07i02.40743
Short DOI https://doi.org/g9fm4v
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