RRepoGEO

REPOGEO REPORT · LITE

kjaisingh/ML-for-High-Schoolers

Default branch master · commit 8336ff31 · scanned 5/13/2026, 6:38:09 AM

GitHub: 1,028 stars · 142 forks

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 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 kjaisingh/ML-for-High-Schoolers, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root, choosing a standard open-source license (e.g., MIT, Apache-2.0, or GPL-3.0) that aligns with your project's intent.
  • mediumhomepage#2
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    Add a relevant URL (e.g., a personal website, a dedicated project page, or even the GitHub Pages URL if applicable) to the 'Homepage' field in the repository settings.
  • lowreadme#3
    Integrate the repository name into the README's opening

    Why:

    CURRENT
    # Learning Artificial Intelligence and Machine Learning as a High Schooler
    COPY-PASTE FIX
    # kjaisingh/ML-for-High-Schoolers: A Learning Path for High Schoolers in AI and ML

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 kjaisingh/ML-for-High-Schoolers
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Codecademy
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Codecademy · recommended 2×
  2. Kaggle Learn · recommended 2×
  3. Coursera · recommended 2×
  4. Google AI for Youth · recommended 1×
  5. freeCodeCamp.org · recommended 1×
  • CATEGORY QUERY
    Where can high school students find a beginner-friendly learning path for AI and ML?
    you: not recommended
    AI recommended (in order):
    1. Google AI for Youth
    2. Codecademy
    3. Kaggle Learn
    4. freeCodeCamp.org
    5. Coursera
    6. edX
    7. Khan Academy

    AI recommended 7 alternatives but never named kjaisingh/ML-for-High-Schoolers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good resources for high schoolers to learn machine learning without complex math?
    you: not recommended
    AI recommended (in order):
    1. Google's Teachable Machine
    2. Codecademy
    3. Kaggle Learn
    4. scikit-learn
    5. pandas
    6. Machine Learning for Kids
    7. Scratch
    8. Coursera
    9. AI For Everyone
    10. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
    11. Keras
    12. TensorFlow

    AI recommended 12 alternatives but never named kjaisingh/ML-for-High-Schoolers. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 kjaisingh/ML-for-High-Schoolers?
    pass
    AI did not name kjaisingh/ML-for-High-Schoolers — 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?

  • If a team adopts kjaisingh/ML-for-High-Schoolers in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kjaisingh/ML-for-High-Schoolers 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 kjaisingh/ML-for-High-Schoolers solve, and who is the primary audience?
    pass
    AI did not name kjaisingh/ML-for-High-Schoolers — 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?

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kjaisingh/ML-for-High-Schoolers — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite