The main goal for the project is to create a software program using existing machine learning (ML) capabilities that can analyze feature length screenplays (approx. 20K words), evaluate and grade varying levels of dramatic conflict at different points in stories from 1 to 10, and then plot the number on a graph. This will involve several different steps for the learners, including:

- Understanding the structure and elements of a screenplay.

- Developing a grading system for dramatic conflict levels.

- Integrating the grading system into a ML program.

- Testing the program with a variety of feature length screenplays.

- Creating a graphing function to visually represent the dramatic conflict levels.

By the end of the project, learners should complete the following tasks:

- A developed ML program capable of analyzing and grading dramatic conflict levels in screenplays.

- A testing report demonstrating the program's effectiveness with different screenplays.

- A graphing function that accurately plots the dramatic conflict levels.

Final deliverables should include:

- All source code and program documentation.

- A comprehensive report on the development process and outcomes.

Ken Van Camp is an experienced storyteller with a MFA in Professional Screenwriting. He will be available to provide guidance, answer questions, and train student(s) in narrative story structure as needed.