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Choose a problem you can explain clearly, with data, tools, and equipment you can realistically access. Define a small working version first, then add features only after the core solution works. For an AI project, begin with a baseline model; for a web application, complete the main user workflow before adding advanced features. A finished, well-tested project is usually easier to demonstrate than an ambitious project that remains incomplete.