Implementation of Hardware for Voice-to-Voice Chat GPT

Authors- D. Triveni, V. Kusmitha Devi, P.V.S. Ramanjaneyulu, L.Upendra, Y. Bhanu Prasad, P. Ravi Kumar

Abstract-This study suggests a hardware design approach that makes use of ChatGPT to improve technology accessibility for people with visual impairments. Using ChatGPT as an inference engine, the system transforms auditory inputs into insightful responses, creating a seamless and intuitive interaction environment. The interface has adaptive audio processing for noise reduction, personalized voice recognition, and real-time language translation to meet the needs of various users. A microcontroller-based hardware architecture enables efficient, low-latency connection with ChatGPT, ensuring prompt and contextually relevant responses. Additionally, by allowing communication with existing assistive technologies, the system design promotes device adaptability across several platforms. Evaluations show how well the interface works to empower visually impaired individuals by facilitating independent information access, real-time decision assistance, and usability.

DOI: /10.61463/ijset.vol.12.issue6.314