ssciwr/AMMICO

AI Summary: Enhance the AMMICO tool to represent relationships between analyzed images as a graph network. This involves identifying relationships between images based on shared features (e.g., similar content, common entities, similar sentiment) extracted during the analysis process and visualizing these relationships using a graph data structure.

AI Summary: Ensure all Jupyter notebooks within the AMMICO project function correctly within the Google Colab environment. This involves verifying compatibility with Colab's setup, addressing any discrepancies or errors that arise, and potentially updating dependencies or code to maintain functionality.

AI Summary: Improve the robustness of the AMMICO package by enhancing error handling (including better exception management) and implementing more comprehensive testing.

AI Summary: Integrate image manipulation detection capabilities into the AMMICO tool. This involves adding functionality to detect if an image has been tampered with (e.g., through splicing, cloning, or other editing techniques) and if it's AI-generated (e.g., using deepfakes or similar methods). This will likely require researching and integrating suitable libraries or models for image forensics and AI-generated content detection.