With the explosion of the 2023 summer film "desperate", it has aroused the public's attention to "fraud. At present, fraudsters mainly use telephone, SMS, Internet and other online media to defraud people. Therefore, the information on these media is mixed, and it is difficult to distinguish between true and false. For example, fraudulent activities in the financial field have become more complex and hidden, and fraudsters have become more difficult to prevent. In order to effectively deal with this challenge, the team proposed a comprehensive fraud big data visualization analysis and intelligent anti-fraud system. Based on deep learning technology, the system crawls the text data of massive fraud-related web pages through crawlers, provides more comprehensive, accurate and timely data support for training relevant ML models to identify fraud-related websites, and provides strong data support for combating network fraud crimes. We also crawl and analyze the news related to fraud words in mainstream news websites, combined with advanced visual analysis methods, and use the ECharts database to display the data through large data screens and charts, aiming to make people more intuitive See the data and text related to fraud, let people have a more detailed understanding of fraud, and improve people's ability to detect, prevent and respond to fraud. After testing, the program can run normally and achieve the design goals.