RRepoGEO

REPOGEO REPORT · LITE

kjaisingh/ML-for-High-Schoolers

Default branch master · commit 8336ff31 · scanned 6/23/2026, 4:33:20 PM

GitHub: 1,030 stars · 142 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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
  • highreadme#1
    Reposition README opening to highlight unique learning path and audience

    Why:

    CURRENT
    # Learning Artificial Intelligence and Machine Learning as a High Schooler
<a href="./README.md"></a>
<a href="./README-en-cn.md"></a>

Hi, I'm Karan, a high school student based in Singapore. Having spent the last year exploring the field of Artificial Intelligence (AI) and Machine Learning (ML), I believe that there does not exist a learning path in this field that is built specifically **for High School students**. This is my attempt to create one.
    COPY-PASTE FIX
    # The High Schooler's Guide to Machine Learning & AI: A Curated Learning Path

This repository offers a unique, step-by-step learning path designed specifically for high school students eager to explore Artificial Intelligence (AI) and Machine Learning (ML). Unlike most introductory resources, this guide requires no prior understanding of advanced mathematics like linear algebra or calculus, focusing instead on concepts accessible within a high school curriculum.
  • highlicense#2
    Add a LICENSE file to the repository root

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the root directory of the repository containing the text of the MIT License (or another suitable open-source license).
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    Set the 'Homepage' field in the repository settings to `https://kjaisingh.github.io/ML-for-High-Schoolers/` (assuming GitHub Pages is enabled for the repo, or another relevant URL).

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
Google's Teachable Machine
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google's Teachable Machine · recommended 1×
  2. Codecademy · recommended 1×
  3. Kaggle Learn · recommended 1×
  4. Coursera · recommended 1×
  5. freeCodeCamp/freeCodeCamp · recommended 1×
  • CATEGORY QUERY
    Where can high schoolers find an accessible guide to start learning machine learning concepts?
    you: not recommended
    AI recommended (in order):
    1. Google's Teachable Machine
    2. Codecademy
    3. Kaggle Learn
    4. Coursera
    5. freeCodeCamp.org (freeCodeCamp/freeCodeCamp)
    6. Scikit-Learn (scikit-learn/scikit-learn)
    7. Keras (keras-team/keras)
    8. TensorFlow (tensorflow/tensorflow)
    9. 3Blue1Brown

    AI recommended 9 alternatives but never named kjaisingh/ML-for-High-Schoolers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are some beginner-friendly AI learning paths for students without a strong math background?
    you: not recommended
    AI recommended (in order):
    1. Google's AI for Everyone
    2. Google Crash Course on Python
    3. Google's Machine Learning Crash Course
    4. IBM AI Engineering Professional Certificate
    5. fast.ai's "Practical Deep Learning for Coders"
    6. fastai library
    7. Microsoft Azure AI Fundamentals (AI-900) Learning Path
    8. Microsoft Azure services
    9. DataCamp's "Introduction to AI"
    10. DataCamp's "Introduction to Machine Learning"

    AI recommended 10 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
kjaisingh/ML-for-High-Schoolers — RepoGEO report