Voice-Activated In-Car Assistant With Natural Language Processing

K. Naga Swathi, K. Saran, K. Dhanusha, G. Sasidhar, K. Divya Ganga and G. Leela Krishna

International Journal of Scientific Research in Science and Technology, 2025, vol. 12, issue 2, 831-837

Abstract: "Voice-Activated In-Car Assistant with Natural Language Processing" paper combines natural language processing and voice recognition to provide a clever, hands-free car control system. The system, which uses a Raspberry Pi as its primary microprocessor, uses a USB microphone to pick up voice instructions, giving the user control over a number of in- car features. To ensure safety when navigating, an ultrasonic sensor (HC-SR04) is employed to identify impediments. A DHT11 sensor provides environmental feedback by measuring temperature and humidity in real time, while a servo motor controls the car's windows. The direction of the vehicle is controlled by a motor driver, while audio output is provided by a speaker for notifications, song playback, and voice responses. Email warnings for particular conditions, including barrier detection or extremely high or low temperatures, are also included in the system. By enabling users to control the robot's movement, check the weather, open the windows get safety alerts, and play music—all with simple voice commands—this smart assistant improves in-car convenience.

Keywords: Voice Recognition; Hands-Free Control; trasonic Sensor (HC-SR04); Obstacle Detection; DHT11 Sensor; Temperature; Humidity Monitoring; Vehicle Navigation; Extreme Temperature Detection (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrst.com/home/article/view/IJSRST251222628 Abstract page (text/html)
https://ijsrst.com/home/article/download/IJSRST251222628/IJSRST251222628 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:etm:ijsrst:v12:y2025:i2:id:733

DOI: 10.32628/IJSRST251222628

Access Statistics for this article

More articles in International Journal of Scientific Research in Science and Technology from Technoscience Academy
Bibliographic data for series maintained by Pankaj Sharma ().