Building a Google Play Store Audit Tool with Python 📱

```Have you ever wondered what app reviews can tell us about a product?

An app might have thousands of reviews, but going through them one by one to understand what users like, what they dislike, and what needs improvement can take a lot of time.

That's the problem I wanted to explore with my Play Store Audit project.

💡 What does it do?

The project analyzes Google Play Store app data and reviews to help make sense of user feedback.

Some of the features I worked on include:

📊 App rating and review analysis

🔍 Identifying common complaints and positive feedback

📈 Visualizing review data and comparing competitors

📄 Generating PDF audit reports

🖥️ Building a frontend to display audit results

🛠️ Technologies

Python for data processing and analysis

APIs for retrieving app information and reviews

FastAPI for backend endpoints

React, TypeScript, and Tailwind CSS for the frontend

PDF generation for downloadable reports

🧠 What I learned

Working on this project helped me understand how different parts of an application fit together, from retrieving data and processing it to presenting results through a user interface.

It also taught me that building a useful tool involves more than just writing code. Handling errors, connecting the frontend to the backend, and presenting information clearly are equally important.

🚧 What's next?

I want to continue improving the project, refining the analysis, and making the overall experience more useful.

This is part of my journey into software development and data analytics, and I'm looking forward to learning more by building real projects.

I'd love to hear your thoughts!

What features would you add to a tool that audits app reviews? 👇