I built an adaptive learning platform with Elo ratings as a solo BTech student.Here's what I learned

Over the past few months I've been building LearnPathAI completely solo while managing college. Here's the core idea and the hard lessons from building it. The Problem Every learning roadmap online is identical. Whether you're a complete beginner or someone who's been coding for 2 years, you get the same path. That never made sense to me. The Idea What if your roadmap adapted to what you actually know? LearnPathAI parses your GitHub profile or resume to infer your starting skill weights, then builds a personalized skill graph around your real gaps not a generic checklist. As you take quizzes, your proficiency per skill updates using an Elo rating system (same model used in chess). The roadmap adjusts in real time skipping what you've mastered, surfacing what you need next. Hard lessons building it Cold start is the hardest problem. Nobody wants a 30 question assessment upfront. GitHub/resume parsing to infer starting skill weights was the solution — it gives the system enough signal to