This project aims to create a Python application that automates the collection of data from web pages and HTML files belonging to the client (SAP). Using web scraping and text processing techniques, the application summarizes the collected content and compiles it into an internal bulletin in the format of a digital newspaper.

The newspaper is generated automatically, organized by relevant topics and sent by email to the defined recipients, promoting efficiency in the sharing of internal information and avoiding time-consuming manual processes.

The project was promoted by CESAE, with the aim of supporting the digital transformation of internal communication processes, creating automatic flows for the collection, organization and distribution of content.

• Main features:

-Scraping of HTML pages and documents

-Automatic content summary

-Generation of digital internal newspaper

-Automated sending by email.

• Potential for expansion:

-Integration with BI systems or dashboards

-Personalization of content by user profile

-Generation of interactive reports in real time.