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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
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Published Paper Details
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| Paper Title: | A Personal Virtual AI Assistant |
| Authors Name: | Nikhil Mathew Abhilash , Anjana C V , Arun Chandran , Abhimanyu Rajan , S Sidharthan |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_201727
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| Published Paper Id: | IJRTI2503207 |
| Published In: | Volume 10 Issue 3, March-2025 |
| DOI: | |
| Abstract: | The advancement of AI-powered personal assistants has significantly enhanced human-computer interaction by en abling task automation, personalized assistance, and real-time communication. However, existing virtual assistants such as Siri, Alexa, and Google Assistant face limitations in security, privacy, and multi-user adaptability. Many rely on cloud-based processing and single-factor authentication, making them vulnerable to data breaches and unauthorized access. Additionally, they often lack multi-user support, regional language adaptability, and mobile automation capabilities, limiting their effectiveness across diverse demographics. This research proposes an AI-based personal assistant that integrates face recognition-based authentication to provide secure and personalized access. Unlike conventional assistants, which depend on cloud computing, this system implements privacy preserving edge computing, reducing reliance on external servers while improving data security and computational efficiency. The assistant supports multi-language interactions (English & Malayalam), ensuring inclusivity, and offers mobile automation features such as making calls via voice commands. Additionally, it automates various tasks, including email management, web searches, WhatsApp automation, and system control, providing a seamless and user-friendly experience. Developed using Python, NLP, SQLite, and deep learning models, this system prioritizes biometric-driven authentication, enhanced security, and real-time adaptability. Experimental eval uations demonstrate improved authentication accuracy, faster task execution, reduced latency, and enhanced privacy protection compared to traditional AI assistants. By integrating secure biometric authentication, intelligent automation, and mobile functionality, this research aims to develop a next-generation AI assistant that is privacy-focused, efficient, and adaptable to modern digital environments. |
| Keywords: | Artificial Intelligence, Face Recognition, Natural Language Processing, AI Assistant, Task Automation, Biometric Authentication, Multilingual Support. |
| Cite Article: | "A Personal Virtual AI Assistant", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.c33-c38, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503207.pdf |
| Downloads: | 000326 |
| ISSN: |
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: IJRTI2503207
Registration ID:201727
Published In: Volume 10 Issue 3, March-2025
DOI (Digital Object Identifier):
Page No: c33-c38 Country: Kottayam, Kerala, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2503207 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2503207 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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