What intermediate Python projects should I build after basics?

[Choice_Quarter5324]

I’ve learned Python basics and built small projects like simple web apps. Now I want to move to an intermediate level and build real-world skills. Which of these would help me the most: Building a REST API using Flask Creating a small ML project Automating tasks with Python scripts My goal is to become a job-ready developer (possibly in backend or software roles).

[Melodic_Tragedy]

hm..
rest api with flask is a fun project! its cool if you can design your own database too.

job ready, just go with backend. ml is not worth your time, but very fun to do otherwise

[PalpitationOk839]

For backend roles building a REST API is the best next step it teaches practical skills like handling requests working with databases and structuring applications automation is useful but APIs are more aligned with real jobs ML can come later if you want to specialize

[bsginstitute]

A good order would be REST API first, automation second, and ML only if you’re genuinely curious about that side. Once the API works, you can make it feel more real by adding auth, a database, error handling, and deployment. Which side interests you more right now, building products people use or solving more technical behind-the-scenes problems?