Plug AI: A Unified Intelligent Platform for Conversational, Sentiment and Predictive AI Integration

Authors

  • Avanthika SS Department of Computer Science and Engineering, Kamaraj College of Engineering and Technology, Virudhunagar – 625701, Tamil Nadu, India Author
  • Vijayalakshmi M Department of Computer Science and Engineering, Kamaraj College of Engineering and Technology, Virudhunagar – 625701, Tamil Nadu, India Author
  • Viona V Department of Computer Science and Engineering, Kamaraj College of Engineering and Technology, Virudhunagar – 625701, Tamil Nadu, India Author

DOI:

https://doi.org/10.47392/IRJAEM.2026.0061

Keywords:

Artificial intelligence, Conversational AI;, Predictive analytics, Sentiment analysis, Unified platform

Abstract

Artificial Intelligence (AI) technologies are increasingly used across domains such as education, healthcare, business analytics, and customer support. However, most AI systems are developed as standalone applications, resulting in fragmented architectures, high integration cost, and limited scalability. This paper proposes Plug AI, a unified AI platform that integrates Conversational AI, Voice Interaction, Sentiment Analysis, and Predictive Analytics into a single centralized system. The platform is built using modern web technologies and follows a microservices architecture to ensure scalability and modularity. The system enables real-time interaction, multi-dimensional sentiment evaluation, and predictive insights based on historical and live data. Experimental analysis shows that the proposed system reduces integration complexity, improves response efficiency, and enhances user experience compared to traditional isolated AI systems. The Plug AI platform provides a scalable and user-friendly solution for intelligent decision-making and multi-domain AI applications.

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Published

2026-03-18