Basic Conversational Agent: 30%
Extensions to the Agent (quality and originality): 30%
Written Report: 30%
Individual Quiz: 10%
A pass adds 1 full point to the grade.
A fail adds no points.
Practical Attendance:
Pass or Fail
Mandatory pass. A failure will lead to failing the entire course.
Midway Check-In Presentation:
Pass or Fail
Mandatory pass. A failure will lead to failing the entire course.
Please note your individual Commits will also be checked be sure to read through the page before committing.
Please ensure the following items are included and properly organized when submitting your project:
Main Branch:
Contains the full codebase for inclusion, exclusion, and all extensions.
Includes the final pipeline implementation.
Branch Structure:
inclusion_only: Contains the codebase focusing solely on inclusion logic.
inclusion_exclusion: Contains the codebase for inclusion and exclusion logic combined.
A detailed report documenting the project’s development and results.
Submit the report in markdown.
Provide the PDF version of your slides from the midway check-in presentation.
Include the output/results from your pipeline to demonstrate functionality and performance.
Provide the trained model file:
Checkpoint File: model_checkpoint.pt.
If any modifications were made to the ontology, ensure the updated version is included.
If any changes or additions were made to the dataset, provide the updated or additional data files.
Ensure your Git repository is well-organized, with proper branch structure.
Verify that all files mentioned above are present, named appropriately, and accessible.