ISSN2456-3315
Impact Factor10.57
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CrossRefDOI
ESTD2016
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AccessOpen
Submission: Always Open
Paper Title
Survey on Techniques to Build AI Assistant
Authors
Nikhil Mathew Abhilash , Anjana C V , Arun Chandran , Abhimanyu Rajan , S Sidharthan
Keywords
Artificial Intelligence, Natural Language Processing, Face and Voice Recognition, Biometric Authentication
Abstract
The rapid advancement of artificial intelligence has transformed human-computer interaction, with AI assistants emerging as vital tools for productivity and convenience. This survey explores the techniques and technologies underlying AI assistants, emphasizing their core functionalities, including natural language processing, voice recognition, and biometric security. Python, renowned for its simplicity and robustness, plays a pivotal role in the development of such systems. Key topics discussed include speech-to-text conversion using APIs, task automation through voice commands, and advanced features like face recognition for secure, personalized interactions. The sur- vey also highlights privacy-preserving mechanisms, multilingual capabilities, and user-centric design enhancements. Addressing challenges such as data privacy, usability across demographics, and computational efficiency, this paper consolidates recent ad- vancements and identifies research gaps. The findings emphasize the transformative potential of AI assistants in streamlining ev- eryday tasks, enhancing personalization, and fostering seamless, secure human-computer collaboration.
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IJRTI — journal style
"Survey on Techniques to Build AI Assistant", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 1, page no.a494-a499, January-2025, Available :https://ijrti.org/papers/IJRTI2501059.pdf
APA — 7th edition
Abhilash, N. M., V, A. C., Chandran, A., Rajan, A., & Sidharthan, S. (2025). Survey on Techniques to Build AI Assistant. International Journal for Research Trends and Innovation, 10(1), a494-a499. https://ijrti.org/viewpaperforall.php?paper=IJRTI2501059
MLA — 9th edition
Abhilash, Nikhil Mathew, et al. "Survey on Techniques to Build AI Assistant." International Journal for Research Trends and Innovation, vol. 10, no. 1, 2025, pp. a494-a499, https://ijrti.org/viewpaperforall.php?paper=IJRTI2501059.
Chicago — 17th, bibliography
Abhilash, Nikhil Mathew, et al. "Survey on Techniques to Build AI Assistant." International Journal for Research Trends and Innovation 10, no. 1 (2025): a494-a499. https://ijrti.org/viewpaperforall.php?paper=IJRTI2501059.
Harvard — author–date
Abhilash, N.M. et al. (2025) 'Survey on Techniques to Build AI Assistant', International Journal for Research Trends and Innovation, 10(1), pp. a494-a499. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2501059
IEEE — numbered reference
N. M. Abhilash, A. C. V, A. Chandran, A. Rajan and S. Sidharthan, "Survey on Techniques to Build AI Assistant," IJRTI, vol. 10, no. 1, pp. a494-a499, Jan. 2025.
Vancouver — biomedical
Abhilash NM, V AC, Chandran A, Rajan A, Sidharthan S. Survey on Techniques to Build AI Assistant. IJRTI. 2025 Jan;10(1):a494-a499.
AMA — 11th edition
Abhilash NM, V AC, Chandran A, Rajan A, Sidharthan S. Survey on Techniques to Build AI Assistant. IJRTI. 2025;10(1):a494-a499. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2501059
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2501059,
author = {Nikhil Mathew Abhilash and Anjana C V and Arun Chandran and Abhimanyu Rajan and S Sidharthan},
title = {Survey on Techniques to Build AI Assistant},
journal = {International Journal for Research Trends and Innovation},
volume = {10},
number = {1},
pages = {a494-a499},
year = {2025},
month = {January},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2501059}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Abhilash, Nikhil Mathew
AU - V, Anjana C
AU - Chandran, Arun
AU - Rajan, Abhimanyu
AU - Sidharthan, S
TI - Survey on Techniques to Build AI Assistant
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 10
IS - 1
PY - 2025
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2501059
SP - a494-a499
ER -
Issue
Volume 10 Issue 1,
January-2025
Pages : a494-a499
Other Publication Details
Paper Reg. ID
IJRTI_200307
Published Paper ID
IJRTI2501059
Downloads
205,614
Research Area
Computer Science & TechnologyÂ
Country
Kottayam, Kerala, India
Published
January 2025
Published Paper PDF
https://ijrti.org/papers/IJRTI2501059.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI2501059
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
ESTD Year
Open
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Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
