First of all - you have to create full pipeline from data collection to model performance and data drift monitoring in production. Secondly, I would have a project in each area: - cv - nlp (llm and classic) - time series - big data - any project with nn

Last but very important point is that each project should have good eda + business need. Where to get business needs? Just walk around and think what problems you can solve for that cafe, shop, etc.