RRepoGEO

REPOGEO REPORT · LITE

neeru1207/AI_Sudoku

Default branch master · commit 069bf1cd · scanned 6/19/2026, 9:23:26 PM

GitHub: 1,019 stars · 153 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
28 /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
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 neeru1207/AI_Sudoku, 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 H1 and opening paragraph to emphasize it's a complete application

    Why:

    CURRENT
    # AI_Sudoku

GUI Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it.
    COPY-PASTE FIX
    # AI_Sudoku: A Complete GUI Application for Solving Sudoku from Photos

This project is a standalone, user-friendly GUI application designed to automatically extract Sudoku puzzles from images and solve them using AI techniques.
  • highhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://[your-github-pages-url-or-demo-link-here]
  • mediumtopics#3
    Add application-focused topics to better signal its identity as a complete solution

    Why:

    CURRENT
    blob-detection, cnn, cnn-tensorflow, cv2, digit-recognition-application, digital-image-processing, gui, hough-line-transform, hough-lines, hough-transform, image-processing, image-segmentation, knn-classification, knn-classifier, machine-learning, opencv-python, sudoku-grabber, sudoku-solver, tkinter-gui, tkinter-python
    COPY-PASTE FIX
    blob-detection, cnn, cnn-tensorflow, cv2, digit-recognition-application, digital-image-processing, gui, hough-line-transform, hough-lines, hough-transform, image-processing, image-segmentation, knn-classification, knn-classifier, machine-learning, opencv-python, sudoku-grabber, sudoku-solver, tkinter-gui, tkinter-python, sudoku-app, computer-vision-application, python-gui-app, image-to-sudoku

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 neeru1207/AI_Sudoku
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenCV
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenCV · recommended 1×
  2. PyQt · recommended 1×
  3. PySide · recommended 1×
  4. Tesseract OCR · recommended 1×
  5. pytesseract · recommended 1×
  • CATEGORY QUERY
    How to build a GUI application that solves Sudoku puzzles from uploaded photos?
    you: not recommended
    AI recommended (in order):
    1. OpenCV
    2. PyQt
    3. PySide
    4. Tesseract OCR
    5. pytesseract
    6. Streamlit
    7. Tkinter
    8. Swing
    9. JavaFX
    10. Tess4J
    11. Emgu CV
    12. WPF (Windows Presentation Foundation)
    13. WinForms

    AI recommended 13 alternatives but never named neeru1207/AI_Sudoku. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Python libraries are best for image-based Sudoku puzzle extraction and digit recognition?
    you: not recommended
    AI recommended (in order):
    1. OpenCV (opencv/opencv)
    2. scikit-image (scikit-image/scikit-image)
    3. Pillow (python-pillow/Pillow)
    4. NumPy (numpy/numpy)
    5. TensorFlow (tensorflow/tensorflow)
    6. Keras (keras-team/keras)
    7. PyTorch (pytorch/pytorch)
    8. Tesseract OCR (tesseract-ocr/tesseract)
    9. pytesseract (madmaze/pytesseract)
    10. scikit-learn (scikit-learn/scikit-learn)

    AI recommended 10 alternatives but never named neeru1207/AI_Sudoku. 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 neeru1207/AI_Sudoku?
    pass
    AI named neeru1207/AI_Sudoku explicitly

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

  • If a team adopts neeru1207/AI_Sudoku in production, what risks or prerequisites should they evaluate first?
    pass
    AI named neeru1207/AI_Sudoku 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 neeru1207/AI_Sudoku solve, and who is the primary audience?
    pass
    AI did not name neeru1207/AI_Sudoku — 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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neeru1207/AI_Sudoku — 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