NEURAL NETWORK

This article describes the creation of a neural network chatbot for the Telegram platform. Chat bots are becoming more and more popular as a means of communication between people and machines. Our neural network was created using Python. She was trained in a large set of data, which includes many dialogs from various topics. A chatbot is able to process text messages from users, understand their intentions and generate an appropriate answer. For this, natural language processing technologies are used (Natural Language Processing) and deep neural networks. A chatbot can also offer the user various answers to the question asked, using classification methods. Our chatbot can be used to automate customer support processes, answer user questions or to improve the experience of interacting with the platform. He is able to work around the clock and respond to several requests at the same time. As a result, the creation of a neural network chatbot for Telegram allows you to improve the quality of user service and increase the efficiency of business processes. For our research, we used Telegram Bot API to integrate a chatbot with a Telegram platform. This API allows you to easily configure the chatbot and manage its functionality, as well as receive notifications of incoming messages from users. After thorough testing of our neural network model, we can argue that it effectively performs the tasks of processing and generating answers to user requests in real time