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A Python Project with user-friendly input for dates, fetching YouTube Analytics via APIs, storing data in Google Sheets and MongoDB, and presenting insights through an interactive Streamlit dashboard with dynamic charts.
Ultimately, the goal of this project is to provide insights into the types of topics, and publishing strategies that generate the most engagement on YouTube . By leveraging data analytics techniques, I hope to provide content creators in the scope of programming with actionable recommendations.