Chatbot for Staff Members
Nikita Kiran More
Department Of Computer Engineering
Sanjivani College Of
Engineering, Kopargaon
morenikitak@gmail.com
Vedika Ravindra Wagh
Department Of Computer Engineering
Sanjivani College Of
Engineering, Kopargaon
vedikawagh31@gmail.com
Radhakrishna Naik
Department Of Computer Engineering
Sanjivani College Of Engineering, Kopargaon
radhakrishnanaikcomp@sanjivani.org.in
Abstract - A chatbot or conversational interface is a way for individuals to interact with a computer system. The traditional way to get a question answered is by using a search engine or filling up forms. A chatbot allows users to ask questions in the same manner that they would address a human. Chatbots are currently being adopted at a high rate on computer chat platforms. A chatbot recognizes the user input as well as by using pattern matching and accessing information provided with predefined acknowledgement. Chatbot is relatively a new technology. Today is the era of intelligence in machines. For a chatbot to perfectly emulate a human dialogue, it must analyze the input given by a user correctly and formulate a relevant and appropriate response. In this project, the main purpose is to solve the delays in traditional methods used by businesses to engage with their employee. To solve this problem for companies an automated system such as a chatbot is created. A chatbot is a computer program, which simulates human conversation or chats. In the rapidly evolving landscape of modern workplaces, effective communication is paramount for organizational success. This paper introduces an intelligent staff member chatbot designed to enhance communication efficiency within a workplace environment. The chatbot employs state-of-the-art natural language processing (NLP) techniques and machine learning algorithms to facilitate seamless interactions between staff members and streamline various aspects of daily communication.
Keywords - Staff communication, Workflow automation, Employee assistance, Management support, Task management, Knowledge sharing, Feedback collection, Performance monitoring, Training, and development
