AI Voice-Bot

In this paper, we present an AI-based desktop voice assistant built with Electron, that provides a natural conversation experience with integrated system-control capabilities on Windows OS. It listens to them, thanks to Wit, which processes your voice and text inputs. ai to transcribe the audio into reliable speech-to-text output and the Gemini AI API to respond in a coherent and context-appropriate manner. In addition to the conversational component, the system also boasts a new feature set enabling the user to control a variety of PC functions (like enabling/disabling WiFi, controlling the screen brightness & toggling the Bluetooth, etc.) via IPC handlers and native Windows commands. It is a modular architecture, owning separate pieces of code for authenticating users, processing the voice, making API calls and executing commands on the Machine. A secure authentication module to interact with a MySQL database to manage user credentials, while continuing voice recording pipelines with audio transformation routines ensures speech recognition high fidelity. Our empirical evaluations show that the combination of diverse APIs and system controls present a real-time and dynamic user experience, overcoming the hurdles of not synchronizing asynchronous interfaces. In the future, our focus will be on reducing the latency, improving the control of the system and the security protocols, which will make this more similar to desk assistants

Authors

Institutions

Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2025-03-08
DOI
https://doi.org/10.48175/ijarsct-23667
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI Voice-Bot

Mr. Harshal Anil Mane Mr. Harshal Anil Mane, M.S. Jadhav, Mr. Vedant Barve, Prof. Mohan Mali
International Journal of Advanced Research in Science Communication and Technology
AI in Service Interactions
article

AI Voice-Bot

Mr. Harshal Anil Mane Mr. Harshal Anil Mane, M.S. Jadhav, Mr. Vedant Barve, Prof. Mohan Mali
article en

Abstract

In this paper, we present an AI-based desktop voice assistant built with Electron, that provides a natural conversation experience with integrated system-control capabilities on Windows OS. It listens to them, thanks to Wit, which processes your voice and text inputs. ai to transcribe the audio into reliable speech-to-text output and the Gemini AI API to respond in a coherent and context-appropriate manner. In addition to the conversational component, the system also boasts a new feature set enabling the user to control a variety of PC functions (like enabling/disabling WiFi, controlling the screen brightness & toggling the Bluetooth, etc.) via IPC handlers and native Windows commands. It is a modular architecture, owning separate pieces of code for authenticating users, processing the voice, making API calls and executing commands on the Machine. A secure authentication module to interact with a MySQL database to manage user credentials, while continuing voice recording pipelines with audio transformation routines ensures speech recognition high fidelity. Our empirical evaluations show that the combination of diverse APIs and system controls present a real-time and dynamic user experience, overcoming the hurdles of not synchronizing asynchronous interfaces. In the future, our focus will be on reducing the latency, improving the control of the system and the security protocols, which will make this more similar to desk assistants

International Journal of Advanced Research in Science Communication and Technology
Bharati Vidyapeeth (Deemed to be University) (IN)
Openalex Percentile: Top 98%
AI in Service Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.