Jarvis the AI Personal Assistant

https://doi.org/10.55529/ijitc.32.16.20

Authors

  • Pranay Kumar Parvatabai Genba Moze College Of Engineering Wagholi, Pune, India.
  • Pratik Mhaske Parvatabai Genba Moze College Of Engineering Wagholi, Pune, India.
  • Rahul Mali Parvatabai Genba Moze College Of Engineering Wagholi, Pune, India.
  • Prof. Twinkle Shukla Parvatabai Genba Moze College Of Engineering Wagholi, Pune, India.

Keywords:

Siri, Alexa, Cortana, Google Assistant, Voice Assistant, Python’s Speech Recognition.

Abstract

Personal voice assistants have become a ubiquitous part of modern life, with devices such as Amazon's Alexa, Google Home, and Apple's Siri offering a convenient and intuitive way to interact with technology. These intelligent assistants can perform a wide range of functions, from setting reminders and controlling smart home devices to conducting online searches and making phone calls. As the technology behind personal voice assistants continues to evolve, these systems are becoming increasingly sophisticated, using natural language processing and learning and respond to Despite the many benefits of personal voice assistants, there are also concerns around privacy and data security. These systems often collect and store sensitive user information, such as voice recordings and search history, raising questions about how this data is used and who has access to it. There have been several high-profile cases of personal voice assistant data being compromised, highlighting the need for robust security measures to protect user privacy.

           This paper will explore the various aspects of personal voice assistants, from their technology and functionality to their impact on society and the potential risks and benefits associated with their use. We will begin by examining the history and evolution of personal voice assistants, tracing their development from early speech recognition systems to the sophisticated AI-powered assistants of today. We will then delve into the technology behind personal voice assistants, exploring the various approaches to natural language processing and machine learning that underpin these systems. Following this, we will explore the various functions and applications of personal voice assistants, from their use in smart homes and cars to their potential in healthcare and education. We will examine the ways in which personal voice assistants are changing the way we interact with technology, and the impact that this is having on our lives and communities.is not all positive. We will also consider the potential risks associated with personal voice assistants, including concerns around privacy and data security. We will explore the ways in which these systems collect and store user data, and the implications of this for user privacy and security. We will also examine the steps that can be taken to mitigate these risks, including the use of encryption and secure data storage.Finally, we will consider the future of personal voice assistants, exploring the ways in which these systems are likely to evolve in the coming years. We will consider the potential for new applications and use cases, and the role that personal voice assistants may play in shaping the future of technology and society.

In conclusion, personal voice assistants represent a significant development in the field of technology, offering a convenient and intuitive way to interact with digital systems. While there are certainly concerns around privacy and security, these risks can be mitigated through the use of robust encryption and secure data storage. As personal voice assistants continue to evolve and become more sophisticated, they are likely to become an even more integral part of our lives, shaping the way we interact with technology and each other.

Published

2023-03-22

How to Cite

Pranay Kumar, Pratik Mhaske, Rahul Mali, & Prof. Twinkle Shukla. (2023). Jarvis the AI Personal Assistant. International Journal of Information Technology & Computer Engineering , 3(02), 16–20. https://doi.org/10.55529/ijitc.32.16.20

Issue

Section

Aricle Publication

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