redwanhuq/campaign-critic
A web app that helps Kickstarter creators increase their chances of being funded
Employs natural language processing and machine learning trained on 24,000+ historical Kickstarter projects to predict funding success (0.71 precision) and generate actionable improvement suggestions across six structural components. The Flask-based web app ingests project URLs, extracts description features via scraping, and compares performance against top-performing campaigns. Complete pipeline—from data collection and feature engineering to model training and deployment—is documented in executable Python notebooks.
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Last pushed
Oct 03, 2017
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