📱 Profitable App Profiles

This project analyzes Google Play Store and Apple App Store datasets to uncover high-potential app categories for ad-supported mobile apps.

🔍 Objective

To identify app genres with the highest installs, ratings, and engagement that are best suited for monetization through ads.

🛠️ Tools & Tech

• Python
• Jupyter Notebook
• Pandas
• Matplotlib / Seaborn

📁 Project Structure

📂 notebooks/ → Jupyter notebooks for data analysis
📂 data/ → Source datasets (Google Play & Apple Store)
📂 outputs/ → Graphs, insights, and text summary
README.md → Project overview

📊 Insights

• Google Play: Education, Tools, Entertainment lead in installs.
• Apple Store: Games and Social Networking dominate engagement.
• Prioritize ad-supported, free, lightweight apps with clean UI and high ratings.

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✅ Created with ❤️ by Aastha953