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The TrendGuide dashboard provides a recommended posting window, tag range, match score, and practical suggestions.
Inspiration
Small YouTube creators often rely on guesswork when deciding when and how to publish their videos. We wanted to build a simple tool that turns trending video data into practical guidance.
What it does
TrendGuide is a lightweight benchmark tool for small YouTube creators. Users select a country and category, then enter a planned publish hour and tag count. The tool returns a recommended posting window, recommended tag range, engagement benchmark, match score, and practical suggestions.
How we built it
We used YouTube trending data from 11 countries. We merged and cleaned the data, extracted features such as publish hour and tag count, and calculated engagement-related metrics. Then we built benchmark tables and used Python, Pandas, and Streamlit to create the web prototype.
Challenges we ran into
One challenge was making sure the product matched the dataset. Since the data mainly contained trending video samples, we focused on a benchmark-based tool instead of an unrealistic viral prediction model. Another challenge was simplifying the outputs so that small creators could use them easily.
Accomplishments that we're proud of
We are proud that we turned raw trending data into an interactive and practical tool. TrendGuide is simple, lightweight, and directly useful for small creators.
What we learned
We learned how to clean multi-country data, engineer benchmark features, and connect data processing with a user-facing web interface.
What's next for TrendGuide
In the future, we would like to add title analysis, keyword recommendations, and more personalized creator insights.
