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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19445
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 144
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| Paper Title: | Survey on Techniques to Build AI Assistant |
| Authors Name: | Nikhil Mathew Abhilash , Anjana C V , Arun Chandran , Abhimanyu Rajan , S Sidharthan |
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IJRTI_200307
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| Published Paper Id: | IJRTI2501059 |
| Published In: | Volume 10 Issue 1, January-2025 |
| DOI: | |
| 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. |
| Keywords: | Artificial Intelligence, Natural Language Processing, Face and Voice Recognition, Biometric Authentication |
| Cite Article: | "Survey on Techniques to Build AI Assistant", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 1, page no.a494-a499, January-2025, Available :http://www.ijrti.org/papers/IJRTI2501059.pdf |
| Downloads: | 000543 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2501059
Registration ID:200307
Published In: Volume 10 Issue 1, January-2025
DOI (Digital Object Identifier):
Page No: a494-a499 Country: Kottayam, Kerala, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2501059 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2501059 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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