Smart Task Trekker Implemented Using Python And APIs

DOI

10.2991/978-94-6463-471-6_72How to use a DOI?

Keywords

Voice assistants; Augmented Reality; Wearable device; Machine learning; Privacy and Security

Abstract

This paper proposes the development of a voice assistant integrated into an augmented reality (AI) environment. Voice assistants have become increasingly popular in recent years, with the widespread adoption of smart speakers and mobile devices. Meanwhile, AI technology has also advanced rapidly, offering new ways to interact with digital information and objects in the real world. The proposed system aims to combine the convenience and ease of use of a voice assistant with the immersive and interactive nature of AI. The user will be able to access the voice assistant through a wearable device, such as smart glasses or a headset. The voice assistant will respond to the user’s voice commands and provide relevant information and assistance, displayed as virtual overlays in the AI environment. The system will use natural language processing and machine learning algorithms to interpret the user’s voice commands and provide accurate and helpful responses. The voice assistant will also be able to learn from the user’s interactions and adapt to their preferences and habits over time. The potential applications of the system are numerous, ranging from personal assistance to industrial and commercial use cases. For example, a user could use the voice assistant to navigate through a city or a museum, receive real-time translations, or access information about products in a store. In a factory or a warehouse, workers could use the system to receive instructions and guidance, improving their efficiency and safety. The implementation of the system will require overcoming technical challenges related to the integration of voice recognition and AI technology, as well as ensuring user privacy and security. However, the potential benefits of a voice assistant in an any environment make it a promising area for future research and development.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - D. Sravani Lakshmi Durga
AU  - K. Lakshmi Pavani
AU  - S. Jancy
PY  - 2024
DA  - 2024/07/30
TI  - Smart Task Trekker Implemented Using Python And APIs
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 745
EP  - 758
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_72
DO  - 10.2991/978-94-6463-471-6_72
ID  - Durga2024
ER  -