International Journal of Science, Engineering and TechnologyAuthors: Deepashree K, Karthik G Sharma, Abhishek, Chandrashekar, Preeti B Hosur
Abstract: – Nexa is a cloud-native, AI-enabled chatbot designed to address the inherent limitations of traditional rule-based conversational systems. By employing Deep Learning (DL) and Natural Language Processing (NLP), it enables intelligent, adaptive, and real-time interactions. Built using Python and frameworks such as Flask, PyTorch, and NLTK, Nexa integrates core AWS services—Amazon Lex, Lambda, Bedrock, API Gateway, and DynamoDB—to support seamless deployment, scalable architecture, and robust security. This paper presents the motivations behind Nexa’s creation, particularly the need for responsive, intelligent virtual assistants in sectors such as education, customer support, and enterprise communication. The system’s design is modular, allowing for easy integration of additional features like multilingual support, biometric authentication, and voice-based interactions. The proposed methodology includes a multi-layered system architecture comprising a web-based frontend, Flask-based backend, NLP-driven intent classifier, and a cloud services layer. Performance metrics indicate high classification accuracy, fast response times, and scalability for thousands of concurrent users. By combining modern machine learning techniques with a fully serverless cloud infrastructure, Nexa demonstrates a forward-thinking approach to building next-generation AI-driven chat interfaces. Its real-time capabilities, flexible design, and potential for future enhancements make it a strong foundation for scalable and context-aware conversational systems.
DOI: http://doi.org/
