Chatbot For Government Employees in Education Department

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Ponnam Shilpa Sri, K Chandra Sekhar, Vishnawa Akshitha, Karnala Chandhana, Kuruba Radha, Pandiri Venkata Harshini, D. Shanthi

Abstract

Government employees in the education sector often encounter delays and inefficiencies due to inadequate systems for task scheduling and query resolution. This paper proposes a chatbot-based helpdesk to address these issues by providing instant answers to frequently asked questions and integrating task management features like desktop reminders. Leveraging advanced NLP techniques and the Hugging Face Zephyr-7B model via API, the system delivers accurate, AI-powered responses even for complex queries not covered in the FAQ dataset. Built using Gradio and Python, the chatbot offers a user-friendly interface, aiming to streamline workflows and enhance communication within the sector.         

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