Xiaomeng Tuji is an application software belonging to the Xiaomeng Tuji series. It is designed to help users improve the efficiency and experience of watching dramas. The software is based on image recognition technology and recognizes screenshots of TV series, movies and variety shows. , quickly and accurately provide users with relevant resource links and discussion communities, allowing users to more easily obtain their favorite film and television content.
1. The software can quickly identify the film and television work and provide relevant information about the work, including director, actors, plot summary, etc.;
2. Users can directly obtain the resource links of the film and television works based on the recognition results, including online viewing and download addresses;
3. In this way, users can complete operations such as finding and watching movies in one stop through the software without having to switch back and forth between multiple platforms.
1. Provides a discussion community that allows users to exchange experiences and share movie-watching experiences with other drama fans;
2. Users can comment, like, follow other users and other operations in the community, which increases the interaction and participation between users;
3. Support user-defined push function. Users can select the film and television works or actors they are interested in and set push reminders.
1. When new relevant content is released, the software will promptly notify users and provide users with personalized drama-chasing services;
2. Recommend popular film and television works related to users’ interests, providing more choices and opportunities to discover new resources;
3. Users can use the software on different devices, and the software will automatically synchronize the user's personal collection and viewing records.
1. No matter which device you use the software on, you can seamlessly continue watching unfinished film and television works;
2. The software will generate intelligent recommendations through machine learning algorithms based on the user’s viewing preferences and historical records;
3. Provide users with film and television works that match their tastes, reduce users’ choice difficulties, and provide a better viewing experience.