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FIT is a modular suite of Python applications for digital forensic acquisition of online contents such as web pages, emails, social media, and more. Each module can run independently or as part of the full FIT suite.
Created this application with Material Design 3.0, Getx, Supabase and Isar database to learning, showing my skills in Flutter programming and PostgreSQL. This application can convinient to save wish and share its to your friends, add wishes to favorites to note what will you buy to your friend on it Birthday.
📋 Todo List - Aplicación de lista de tareas desarrollada con JavaScript vanilla, utilizando Vite para la configuración del proyecto. Permite a los usuarios gestionar sus tareas pendientes, completadas y todas en una interfaz sencilla y limpia, inspirada en el estilo de Sindre Sorhus.
FIT Verify PDF Timestamp module provides a graphical interface for verifying the timestamp applied to the PDF report generated by FIT during the acquisition process.
FIT Instagram is the Instagram scraping module of the FIT ecosystem, providing a PySide6-based interface and tools to authenticate, navigate, and extract content from Instagram accounts efficiently and securely.
FIT Web module is the web scraping module of the FIT ecosystem, offering a PySide6-driven interface and helpers to acquire dynamic web content reliably and reproducibly.
It is a Modern Web Application using Modern JavaScript with modules, and Its content is about searching for food recipes and rendering its ingredients, also being able to make your own recipe, and save it or bookmark any recipe to navigate later.