AI BASED VOICE ORIENTED SIGNAL RECEPTION SYSTEM USING BLYNK

The rapid advancement of Internet of Things (IoT) and Artificial Intelligence (AI) technologies has enabled the development of intelligent and user-friendly communication systems. This paper presents an AI voice-based oriented signal reception system using the Blynk platform, designed to facilitate seamless wireless communication and control through voice commands. The system integrates speech recognition techniques with IoT modules to receive, process, and transmit signals efficiently in real time. Voice inputs are captured using a microphone, processed through AI-based models for command interpretation, and transmitted via RF communication modules to a receiver unit. The receiver system decodes the incoming signals and performs corresponding actions, which can be monitored and controlled remotely using the Blynk mobile application. The proposed framework emphasizes low-cost implementation, ease of use, and accessibility for applications such as smart home automation, assistive technologies for physically challenged individuals, and remote monitoring systems

@article{ijter2026212605123301,
  author = {Praneeth N and Vijeth Shanubaug and Trishar R Gowda  and Satish Kumar B },
  title = {AI BASED VOICE ORIENTED SIGNAL RECEPTION SYSTEM USING BLYNK},
  journal = {International Journal of Technology &  Emerging Research },
  year = {2026},
  volume = {2},
  number = {5},
  pages = {128-133},
  doi =  {10.64823/ijter.2605010},
  issn = {3068-109X},
  url = {https://www.ijter.org/article/212605123301/ai-based-voice-oriented-signal-reception-system-using-blynk},
  abstract = {The rapid advancement of Internet of Things (IoT) and Artificial Intelligence (AI) technologies has enabled the development of intelligent and user-friendly communication systems. This paper presents an AI voice-based oriented signal reception system using the Blynk platform, designed to facilitate seamless wireless communication and control through voice commands. The system integrates speech recognition techniques with IoT modules to receive, process, and transmit signals efficiently in real time. Voice inputs are captured using a microphone, processed through AI-based models for command interpretation, and transmitted via RF communication modules to a receiver unit.
  The receiver system decodes the incoming signals and performs corresponding actions, which can be monitored and controlled remotely using the Blynk mobile application. The proposed framework emphasizes low-cost implementation, ease of use, and accessibility for applications such as smart home automation, assistive technologies for physically challenged individuals, and remote monitoring systems
  },
  keywords = {AI Voice Recognition, Internet of Things (IoT), Speech Processing, Signal Reception, RF Communication, Blynk, Wireless Communication, Embedded Systems, Real-Time Monitoring, Smart Automation, Assistive Technology, Voice-Controlled Systems},
  month = {May},
}

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.