AI-Powered Chatbot on Cloud Platform

Over the past decade, advancements in Artificial Intelligence (AI) and cloud computing have transformed the way interactive digital systems are developed and deployed. Traditional customer service and information systems often struggle with scalability, responsiveness, and user personalization. These limitations highlight the need for intelligent, context-aware, and always-available solutions. This research presents a cloud-deployed, AI-powered chatbot that leverages Natural Language Processing (NLP), machine learning, and scalable cloud services to simulate human-like dialogue and provide real-time assistance across domains. Built using Python and frameworks such as TensorFlow and Hugging Face Transformers, the system processes natural language inputs, classifies intent, and generates appropriate responses. The chatbot is deployed using containerized services on platforms like AWS or GCP, ensuring fault tolerance, security, and global accessibility. Evaluation through user testing and performance metrics demonstrates high intent accuracy, low latency, and seamless user engagement. This work demonstrates the practical potential of integrating AI with cloud infrastructure to deliver scalable, intelligent virtual assistants