AI-Atlas

Map your AI engineering skills from your GitHub code

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FreeAICodeAnalytics1 impressionslaunches Oct 201 comment

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Pop Alexandru[maker]· 3h ago
Hi! I’m Alexandru, a 17 year-old high school student from Romania working toward becoming an AI researcher. I built AI-Atlas on my own because “AI engineer” is now on every profile, yet nothing shows whether the code behind it holds up. AI-Atlas reads your public GitHub and scores the code itself, not stars or followers. Before the AI judges anything, it checks what can be proven, like whether notebooks were actually run and whether tests can run at all. So, in about a minute you get your skills map across six AI fields, a global rank, your own shareable atlas, and a live card for your GitHub README.

AI-Atlas reads your public GitHub repositories and scores each AI project’s actual code, not stars, followers or commit counts. It maps your skills across six fields: Machine Learning, Computer Vision, Data Science, NLP & LLMs, AI Agents and MLOps. What you get: - An Atlas profile: a score for each field, every project rated on a 7-part rubric, and the evidence behind each score. - A live README card: one line of markdown that shows your Atlas on your GitHub profile and updates whenever you rescan. - A leaderboard: global and per-country rankings, for verified owners only. - A predictor: shows which improvement would raise each project’s score the most, so you know what to build next. To keep scores honest, the scanner checks what it can prove before the AI judge reads anything: whether notebooks were actually run, whether tests import modules that exist, and what CI really executes. Those checks are given to the judge as facts. Free to map your profile. Built by a 17 year old high school student in Romania.

AI Code Analytics Other

Map what you've built on GitHub
Creates concise AI skills profiles with evidence links
Analyzes architecture, implementation, and training logic

AI-Atlas scans public GitHub repos to score and map AI engineering skills across six domains.

for: Developers who want to showcase and benchmark their AI project experience.
pricing: freemium

works withGitHub

Key features

6 features of AI-Atlas

Score per AI domain — Assigns a score for each of six AI fields based on actual code evidence.
Live README card — Generates a markdown badge for GitHub profiles that updates with rescans.
Evidence-backed rubric — Shows the specific files and code that support each score.
Global leaderboard — Ranks verified users worldwide and by country.
Improvement predictor — Suggests changes that would raise a project’s score the most.
Roadmap credits — One-click generation of prioritized improvement roadmaps or what-if scenarios.