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“Conversational AI for Customer Support”

Authors:

Mr. Abhiraj Ekmalle1, Prof. Pramod jadhao2

1 Department of MCA ,Trinity Academy Of Engineering , Pune , India,

2Assistant Professor of MCA ,Trinity Academy Of Engineering , Pune , India

ABSTRACT: This research paper presents a web-based Conversational AI system developed for enhancing customer support services using Natural Language Processing (NLP), Machine Learning (ML), and Flask for deployment. The system is designed to simulate human-like conversation, resolve customer queries, and operate 24/7 without human intervention. By leveraging intelligent dialogue management and intent recognition, the system can handle frequently asked questions, route complex queries, and significantly reduce human workload. This work demonstrates the integration of AI-driven models within a lightweight web interface and proposes a scalable solution for modern customer service challenges.

KEYWORDS: Conversational AI, NLP, Customer Support, Flask, Intent Recognition, Dialogue Management, Chatbot