project suggestor

an AI that recommends what to build based on who you are — your skills, your gaps, your goals, your interests, and your timeline. the observation is that one of the biggest sources of wasted effort for developers and learners is choosing the wrong project: too easy (nothing learned), too hard (abandoned after a week), wrong domain (doesn't move your goals forward), or too generic (the 100th todo app). a good mentor gives you project suggestions that fit your specific situation; this is that, automated.

the input model: a lightweight profile capturing what you already know, what you want to learn, how much time you have, and what kinds of problems interest you. the AI matches this against a space of project templates and adapts them — it might suggest building a CLI tool in Rust if you're a Python dev who wants systems programming experience, or a data pipeline project if you want ML engineering practice. the suggestions should include reasoning (why this project for you, what you'll learn from it, potential blockers to watch for) not just a project name.