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Week 9 – CST499 Fall 2025 Capstone

This week, our team made significant progress on the summarization pipeline and publishing for our project. We successfully connected the summarizer to a local LLM running on the client’s computer via an API. This setup allowed us to generate summaries much faster, which helped us efficiently test and refine the summarizer’s output.

On the publishing side, we implemented a working TiddlyWiki page that displays the generated summaries as tiddlers. Each summary appears in a “Recent” list, and clicking on a title opens its corresponding tiddler with the full summary.
Marcelo handled most of the code for generating the HTML file using the TiddlyWiki CLI, while I contributed by designing and implementing a CSS stylesheet and theme to improve readability and give the site a cleaner appearance. The website now meets the requirements for a minimum viable product (MVP), though we plan to continue refining it.

Next week, we plan to focus on UX/UI improvements for the website to make it more intuitive and visually appealing. I will also work on automating the publishing process using GitHub Actions and deploying the site via GitHub Pages.

One of the challenges we are facing is the processing limitations of our local computers when running the summarizer service. Even when using the client’s computer, the summarization process remains time-consuming. Another challenge involves improving the quality of the generated summaries. Fortunately, our advisor has suggested a few potential solutions, including using an LLM-as-a-judge approach and implementing a BART score to evaluate and refine summary quality. We plan to experiment with both methods next week to determine which produces better results.

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