摘要：An information system for recording offenses based on cloud technologies is designed and developed. An overview of the current research situation was conducted, and the future bot's fundamental properties - convenience and security- were identified. The use of Telegram represents all these features. We considered systems that the police have long used to record and investigate crimes to analyze the main necessary functions. It gave us an understanding of what data should be collected and in what form it should be stored in the future so that employees can use it. When performing this work section, an information system for recording offenses based on cloud technologies was designed. For this purpose, a goal tree was built that reflects the main goal and sub-goals, having achieved which, the main goal will also be performed. The next step was to create a context diagram in IDEF0. It displays all the data that the system receives and processes, and its decomposition reflects the interaction between processes. Also, a hierarchy of tasks was created for the projected plan. Defined four subtasks and functions necessary for the system's proper functioning are described. During the implementation of this section, we will consider the leading technologies that will be used to create Telegram bots for fixing offenses, among them Node.js, TypeScript, DynamoDB, AWS Lambda, Claudia.js. The main advantage is the serverless architecture, which scales and is charged directly to the system load. It will help you avoid system failure entirely if there are excessive requests higher than the average value. During the implementation of this section, we considered a control example of a software product. The analysis showed that the offense recording chatbot is working and performs its direct functions: it receives reports of offenses, tells information about the author, and accepts user questions. In addition, the structure of the database that stores the user's personal data and possible questions was presented.
关键词：Chatbot;Telegram;Information System;Cloud Technologies;Social Networks;Offense s
