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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM49171
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In the modern digital era, seamless interaction between users and intelligent systems has become essential for enhancing productivity and support across various domains. To address this need, Hyper AI has been developed—an intelligent AI-powered chatbot framework designed to facilitate natural and efficient human–AI communication. This system caters to a wide range of use cases such as general inquiries, workflow support, and context-aware responses across multiple sectors including education, enterprise, and customer service. Hyper AI is architected using Node.js (Express) to handle efficient and scalable backend logic, MongoDB for flexible and high-performance data management, and a modern frontend stack comprising React, Vite, and Tailwind CSS to deliver a fast, responsive, and visually engaging user interface. It integrates Google Gemini API for advanced Natural Language Processing (NLP), enabling the bot to understand complex queries and provide meaningful answers. The platform supports secure user authentication, real-time interactions, and scalable deployment using on-prem Kubernetes and CI/CD pipelines. This dissertation outlines the architecture, development, and deployment of Hyper AI, focusing on real-world applicability, user engagement, and the automation of repetitive tasks. Future enhancements include voice-based interactions, expanded integrations, and multilingual capabilities, making Hyper AI a comprehensive solution for intelligent digital support systems.
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Publication Date
5/30/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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