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The Singoff-agen — Learning Through Dumb Projects
- The author found inspiration from Primeagen's Youtube channel to embark on a project focused on identifying the longest signoff by Primeagen.
- Utilizing a Python script, the author extracted captions from over 860 Youtube videos to identify the signoffs.
- The process involved merging dialogue snippets, identifying 'the name' mentions, and searching for 'agen!' to pinpoint signoffs.
- Manual intervention was required to handle anomalies like one-sided signoffs and caption errors.
- Through the project, the author gained insights into software development processes, documentation, and the Github workflow.
- While acknowledging the roughness of the method, the author highlighted the potential of applying AI for more accurate speech analysis.
- The project also revealed possibilities for future endeavors including sentiment analysis and exploring Twitch media for improved results.
- In hindsight, the author recognized the limitations of using Youtube captions and considered incorporating Primeagen's other channel for a comprehensive analysis.
- Overall, the project served as a learning experience and a platform for the author to explore new ideas and techniques in software development.
- For those interested, the complete list of signoffs can be accessed in the provided Github repository.
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