So first thing, I think this is a great idea. Understanding the full pipeline is very valuable and a lot of people do the east route of grab a dataset, throw it through some sklearn model, and call it a day. Additionally, you seem to have a pretty good idea of what is involved. Now the one thing you’re struggling with is possibly the most important piece of being a good data scientist: the creative curiosity. Forget about trying to use a specific model, that is limiting how you’re thinking about the data. You don’t have to have a topic you’re super interested in. You need to find a problem and then find a solution. Walk through the park and maybe see if you can figure out what a type of plant is. Can you? How can you create a model that does it for you? Regardless of the problem, your story of gathering data will be the most important thing to talk about in an interview, and if you get creative with the gathering of it, you’ll set yourself apart. More on reddit.com

A web base video editing app will showcase a lot of skills: Front End. You need to know how to do drag-n-drop, using things like fabric JS, image canvas libraries Back end, you have to store those coordinates of the animation in a DB DevOps /Orchestration. You need to design a system to handle processing. E.G. Running 4-5 nodes to process video with a queue and message broker. Building the custom back end OS build with possibly a customized ffmpeg Covers system design to glue all the pieces together Data Warehousing. You need to design a schema to compile the video as well as a schema to coordinate jobs for publishing, queuing up the videos. Front end will benefit more so. To combine visual elements, making transparency for masking so you can text fly over an image. Or a person with a greenscreen over a background. These types of projects will demonstrate you are full-stack. With mastery in all areas from back end to front end. More on reddit.com

Todo list app is the classic simple project to test a new framework and how it works. It can be frontend only, or full stack, with a classic DB or a serverless architecture, has a simple CRUD flow that covers all your basic operations, can be easily expanded to have multiple users or advanced features, or scaled down to just a single local or global list, and isn't too difficult to design or style. It's like the most simple "full" project you can do. More on reddit.com

Ask chatgpt :) More on reddit.com