Book-to-Movie Visualizer

The Book-to-Movie Visualizer is an innovative system designed to analyze, compare, and visualize the differences between a book and its movie adaptation using advanced computational techniques. The project integrates Natural Language Processing (NLP), Blockchain, and Network Analysis to deliver a transparent and insightful representation of adaptation fidelity. NLP techniques are employed to extract key entities, themes, sentiments, and dialogues from the book and movie scripts, enabling a detailed semantic comparison. The extracted insights are then visualized through interactive graphs and similarity networks that help users understand how faithfully the movie follows the original storyline, what elements are altered, and which characters or scenes are emphasized or omitted. To ensure authenticity and prevent data manipulation, Blockchain technology is incorporated for secure storage and verification of textual and analytical data. Furthermore, network-based visualization highlights relationships between characters, events, and emotional tones, providing a deeper understanding of adaptation dynamics. Overall, this system offers a novel approach to bridging literature and cinema, enhancing transparency, academic research, and audience engagement in adaptation studies.