Virtual Assistant Using Python

Virtual Assistant Using Python

Registration ID: IJNRD_196486

Published ID: IJNRD2305687

DOI: Click Here to Get

Arti Hadke , Snehal Kolhe , Anushka Lembhe , Sourabh Yesal

Virtual Assistant, NLP, Speech Recognition, Machine Learning, Voice

This project focuses on the development of a virtual assistant using Python. The goal of the virtual assistant is to provide users with a convenient and intuitive interface for accessing information, performing tasks, and receiving assistance in various aspects of their daily lives. By leveraging Python's extensive libraries and natural language processing capabilities, the virtual assistant aims to enhance user productivity and streamline their interaction with technology. The virtual assistant employs speech recognition and synthesis techniques to enable voice-based communication between the user and the system. It can understand and interpret spoken commands, allowing users to perform a wide range of tasks such as setting reminders, checking the weather, searching the internet, managing calendars, and controlling smart home devices. The assistant utilizes machine learning algorithms to continuously improve its ability to understand and respond accurately to user requests.

Published Paper   E-Certificate

"Virtual Assistant Using Python", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.g710-g716, May-2023, Available :https://ijnrd.org/papers/IJNRD2305687.pdf

Volume 8 Issue 5, May-2023

Pages : g710-g716

Paper Reg. ID: IJNRD_196486

Published Paper Id: IJNRD2305687

Downloads: 000121125

Research Area: Computer Engineering 

Country: Ahmednagar, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305687.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305687

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more

How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area