RRepoGEO

REPOGEO REPORT · LITE

gigwegbe/tinyml-papers-and-projects

Default branch main · commit dda3f75c · scanned 5/28/2026, 9:07:56 PM

GitHub: 1,010 stars · 164 forks

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 gigwegbe/tinyml-papers-and-projects, 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 H1 to clarify it's an 'Awesome List'

    Why:

    CURRENT
    ## TinyML Papers and Projects
    COPY-PASTE FIX
    ## Awesome TinyML Papers and Projects
  • highhomepage#2
    Add repository URL as homepage

    Why:

    COPY-PASTE FIX
    https://github.com/gigwegbe/tinyml-papers-and-projects
  • mediumreadme#3
    Refine README introduction to emphasize curated collection

    Why:

    CURRENT
    This is a list of interesting papers, projects, articles and talks about TinyML.
    COPY-PASTE FIX
    This is a curated and comprehensive collection of interesting papers, projects, articles, and talks specifically focused on TinyML, designed for researchers, developers, and enthusiasts.

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 gigwegbe/tinyml-papers-and-projects
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
arXiv.org
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. arXiv.org · recommended 1×
  2. Google Scholar · recommended 1×
  3. NeurIPS · recommended 1×
  4. ICLR · recommended 1×
  5. CVPR · recommended 1×
  • CATEGORY QUERY
    Where can I find recent research papers on optimizing machine learning for embedded devices?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Google Scholar
    3. NeurIPS
    4. ICLR
    5. CVPR
    6. ECCV
    7. ICCV
    8. MLSys
    9. EMNLP
    10. DAC
    11. MICRO
    12. ISCA
    13. ACM Digital Library
    14. IEEE Xplore
    15. TinyML Summit
    16. IEEE Transactions on Neural Networks and Learning Systems
    17. Journal of Machine Learning Research (JMLR)
    18. ACM Transactions on Embedded Computing Systems (TECS)
    19. IEEE Embedded Systems Letters
    20. IEEE Transactions on Computers

    AI recommended 20 alternatives but never named gigwegbe/tinyml-papers-and-projects. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good project examples for implementing machine learning on edge devices with limited resources?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow Lite Micro (tensorflow/tflite-micro)
    2. Edge Impulse
    3. Arduino Nano 33 BLE Sense
    4. ESP32-S3-DevKitC-1
    5. ESP32-LyraT-Mini
    6. Raspberry Pi Pico
    7. OpenMV Cam H7 Plus (openmv/openmv)
    8. ESP32-CAM
    9. Arduino Portenta H7
    10. Seeed Studio Wio Terminal
    11. Adafruit Feather M0 LoRa

    AI recommended 11 alternatives but never named gigwegbe/tinyml-papers-and-projects. 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 gigwegbe/tinyml-papers-and-projects?
    pass
    AI named gigwegbe/tinyml-papers-and-projects explicitly

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

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