Design and Development of a Real-Time AI-Powered Medical Voice Agent Using Next.js | IJCT Volume 13 – Issue 3 | IJCT-V13I3P5
International Journal of Computer Techniques
ISSN 2394-2231
Author
Riddhi Pandey, Anamika Nishad, Smt Anuradha Singh, Mudit Dubey
Abstract
The integration of Artificial Intelligence (AI) with contemporary web technologies has played a crucial role in improving both the accessibility and overall efficiency of healthcare services. In this paper, we present the design and development of an AI-powered Medical Voice Agent built using Next.js. The system is designed to support real-time, conversational interactions between patients and a virtual healthcare assistant, making digital healthcare support more immediate and user-friendly.
To achieve this, the platform incorporates key technologies, including Natural Language Processing (NLP), along with speech-to-text and text-to-speech capabilities. These components work together to interpret user input—whether spoken or typed—and generate relevant medical guidance in real time. This allows the system to respond in a way that feels interactive and context-aware, rather than purely transactional. A central feature of the proposed platform is its intuitive interface, where users can describe their symptoms through either text or voice. As illustrated in the conversational module with a virtual doctor, the system processes the input to identify potential concerns and recommend appropriate next steps. These may include consulting appropriate specialists, such as cardiologists, neurologists, or dermatologists, as suggested by an integrated recommendation dashboard.
In addition to symptom analysis, the platform supports real-time transcription and dynamic response generation, enabling smooth and continuous interaction. The design also emphasises ease of navigation and continuous availability, ensuring users can access assistance at any time. Together, these features contribute to a system that aims to provide reliable, round-the-clock healthcare support in a more accessible and responsive manner.
Keywords
Artificial Intelligence, Medical Voice Agent, Next.js, Natural Language Processing (NLP), Speech Recognition, Healthcare Technology, Conversational AI, Telemedicine, Doctor Recommendation System, Real-Time Assistance
Conclusion
This project demonstrates the successful design and implementation of a real-time, AI-powered medical voice assistant that enables users to interact through natural, voice-based communication. By bringing together modern web technologies, artificial intelligence, and real-time speech recognition, the system provides a practical, accessible platform for delivering preliminary medical guidance.
From a technical perspective, the application integrates a responsive frontend built with Next.js, React, and TypeScript, alongside real-time speech-to-text processing to accurately capture user input. This is complemented by AI-based symptom interpretation, which allows the system to generate context-aware responses. Additional components, such as secure authentication mechanisms and serverless database storage, contribute to reliable data handling and user safety. Taken together, these elements support a scalable, efficient, and secure system.
An important contribution of the system is its ability to lower barriers to access to basic healthcare information. In particular, voice interaction makes the platform more accessible to users who may find traditional text-based interfaces challenging. At the same time, it is important to recognise that the application is not intended to replace professional medical consultation. Instead, it serves as a supportive tool, helping users understand symptoms and seek appropriate care.
Overall, the project illustrates the growing relevance of AI and voice-enabled technologies in healthcare applications. It also establishes a foundation for further development, with clear opportunities for enhancement, including multilingual capabilities, more advanced medical analysis, and closer integration with professional healthcare services.
References
[1] Next. js-Official Documentation.
Available at: Next.js Documentation.
React– Official React Documentation.
Available at: React Official Docs.
[2] TypeScript–Microsoft TypeScript Documentation.
Available at: TypeScript Handbook.
[3] Assembly AI– RealTime Speech to-Text API Documentation.
Available at: Assembly AI Docs.
[4] Clerk–Authentication and User Management Documentation.
Available at: Clerk Official Docs.
[5] Neon–Serverless PostgreSQL Documentation.
Available at: Neon Database Docs.
[6] Russell, S., & Norvig, P., Artificial Intelligence: A Modern Approach, Pearson Education • Jurafsky, D., & Martin, J. H., Speech and Language Processing, Pearson.
• MDN Web Docs – Web APIs, JavaScript, and Browser Speech Handling.
Available at: Mozilla Developer Network.
• Research articles and online resources on AI in Healthcare and Voice Assistants.
How to Cite This Paper
Riddhi Pandey, Anamika Nishad, Smt Anuradha Singh, Mudit Dubey (2026). Design and Development of a Real-Time AI-Powered Medical Voice Agent Using Next.js. International Journal of Computer Techniques, 13(2). ISSN: 2394-2231.
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