Narrative Echoes: Unraveling Cinematic Threads

Drawing inspiration from the non-linear narrative of 'Memento' and the thematic exploration of creation and its consequences in 'Frankenstein', this project aims to extract and visualize the underlying narrative architectures of films. Similar to how a podcast metadata scraper gathers information, this system will process film scripts or detailed plot synopses. Using Natural Language Processing (NLP) techniques, it will identify key plot points, character arcs, thematic elements, and their temporal relationships. The core concept is to translate these cinematic elements into a 'narrative script' or a structured textual representation, akin to a novel's chapter breakdown but reflecting the film's timeline and interweaving storylines. The 'Frankenstein' influence comes in exploring the creation of a coherent narrative from fragmented or complex sources. The 'Memento' aspect lies in mapping non-linear timelines and revealing how information is presented to the audience. Easy implementation is achieved by focusing on readily available film scripts or detailed synopses and leveraging open-source NLP libraries. The niche lies in its unique approach to film analysis, moving beyond simple genre categorization to uncover deeper narrative structures. The high earning potential stems from applications in script analysis for aspiring writers, audience engagement analysis for streaming platforms, identifying potential remake/reboot opportunities based on thematic resonance, and even generating unique 'film novelizations' for sale. The low-cost aspect is maintained by utilizing cloud-based NLP tools and open-source software, minimizing hardware and licensing expenses.