Currently, creating articles involves manually matching content from rough documents (e.g., Word documents) with predefined templates by filling in fields. This process can be time-consuming, particularly when managing a large volume of articles.

We propose a system that can intelligently identify and map sections of the rough content to the corresponding placeholders in the template. Automatically recognize and organize the uploaded content into appropriate sections while offering options for manual adjustments when necessary.