RRepoGEO

REPOGEO REPORT · LITE

aadi1011/AI-ML-Roadmap-from-scratch

Default branch main · commit bf21cf6c · scanned 5/14/2026, 11:53:02 AM

GitHub: 3,605 stars · 685 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface aadi1011/AI-ML-Roadmap-from-scratch, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening to explicitly highlight "curated free resources" and "structured learning path".

    Why:

    CURRENT
    🧠 Become skilled in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Data Science, Natural Language Processing, Reinforcement Learning and more with this complete 0 to 100 repository. 💡 You can follow these modules simultaneously as well as in order given below. The modules are ranked in increasing order of difficulty. Content with a `⭐` are highly recommended. 📚 These are a collection of the best free resources from YouTube and online courses, as well as other popular blogs and websites.
    COPY-PASTE FIX
    🧠 This repository offers a **highly structured, comprehensive, and free learning roadmap** to become skilled in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Data Science, Natural Language Processing, Reinforcement Learning, and more. It meticulously **curates the best free resources** from YouTube, online courses, blogs, and websites, guiding you from 0 to 100 with modules ranked by difficulty. Follow this complete learning path to master AI/ML fundamentals and advanced topics.
  • mediumtopics#2
    Add topics that emphasize the repository's role as a curated learning resource and roadmap.

    Why:

    CURRENT
    ai, aiml, artificial-intelligence, data-science, deep-learning, hacktoberfest, hacktoberfest2025, learning, machine-learning, machine-learning-from-scratch, resources, roadmap, tutorial
    COPY-PASTE FIX
    ai, aiml, artificial-intelligence, data-science, deep-learning, hacktoberfest, hacktoberfest2025, learning, machine-learning, machine-learning-from-scratch, resources, roadmap, tutorial, learning-path, curated-resources, education, free-courses
  • mediumreadme#3
    Add a "Why This Roadmap?" section to the README to differentiate from generic educational platforms.

    Why:

    COPY-PASTE FIX
    Add a new section, for example, after the main introduction or "Contents", titled "Why Choose This Roadmap?" or "How This Roadmap Stands Out". Content could include: "Unlike general course platforms or individual resource lists, this repository provides a **curated, step-by-step learning path** from foundational math and programming to advanced AI topics like Generative AI and Agentic AI. We meticulously select and organize the **best free resources** available online into a logical progression, ensuring a comprehensive and guided learning experience without the need for paid subscriptions or scattered searches."

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface aadi1011/AI-ML-Roadmap-from-scratch
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
3Blue1Brown
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. 3Blue1Brown · recommended 2×
  2. TensorFlow · recommended 2×
  3. Kaggle · recommended 2×
  4. Linear Algebra Done Right · recommended 1×
  5. Khan Academy · recommended 1×
  • CATEGORY QUERY
    What is a good structured learning path for mastering artificial intelligence and machine learning?
    you: not recommended
    AI recommended (in order):
    1. 3Blue1Brown
    2. Linear Algebra Done Right
    3. Khan Academy
    4. Calculus by James Stewart
    5. Harvard's CS50's Introduction to Probability
    6. Think Stats
    7. Python for Everybody Specialization
    8. Automate the Boring Stuff with Python
    9. Machine Learning by Andrew Ng
    10. An Introduction to Statistical Learning (ISLR)
    11. Scikit-learn
    12. Keras
    13. TensorFlow
    14. Deep Learning Specialization by Andrew Ng
    15. fast.ai Practical Deep Learning for Coders
    16. Deep Learning with Python
    17. CS224N: Natural Language Processing with Deep Learning
    18. Hugging Face Transformers
    19. CS231n: Convolutional Neural Networks for Visual Recognition
    20. OpenCV
    21. PyTorch
    22. Reinforcement Learning by David Silver
    23. Reinforcement Learning: An Introduction
    24. AWS SageMaker
    25. Google Cloud AI Platform
    26. Azure Machine Learning
    27. Docker
    28. Kubernetes
    29. MLflow
    30. Kaggle
    31. LeetCode
    32. Towards Data Science
    33. Google AI Blog
    34. OpenAI Blog

    AI recommended 34 alternatives but never named aadi1011/AI-ML-Roadmap-from-scratch. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find free resources to learn data science, deep learning, and generative AI?
    you: not recommended
    AI recommended (in order):
    1. Coursera
    2. DeepLearning.AI
    3. IBM
    4. Stanford University
    5. freeCodeCamp.org
    6. Kaggle Learn
    7. Kaggle
    8. Pandas
    9. Google's Machine Learning Crash Course
    10. TensorFlow
    11. StatQuest with Josh Starmer
    12. 3Blue1Brown
    13. Hugging Face
    14. fast.ai

    AI recommended 14 alternatives but never named aadi1011/AI-ML-Roadmap-from-scratch. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of aadi1011/AI-ML-Roadmap-from-scratch?
    pass
    AI named aadi1011/AI-ML-Roadmap-from-scratch explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts aadi1011/AI-ML-Roadmap-from-scratch in production, what risks or prerequisites should they evaluate first?
    pass
    AI named aadi1011/AI-ML-Roadmap-from-scratch explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo aadi1011/AI-ML-Roadmap-from-scratch solve, and who is the primary audience?
    pass
    AI did not name aadi1011/AI-ML-Roadmap-from-scratch — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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