RRepoGEO

REPOGEO REPORT · LITE

NTUMARS/Awesome-WiFi-CSI-Sensing

Default branch main · commit fc8e21f4 · scanned 6/3/2026, 1:27:45 PM

GitHub: 1,005 stars · 101 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 NTUMARS/Awesome-WiFi-CSI-Sensing, 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
  • hightopics#1
    Add 'awesome-list' to topics

    Why:

    CURRENT
    channel-state-information, wifi-sensing, wireless-sensing
    COPY-PASTE FIX
    awesome-list, channel-state-information, wifi-sensing, wireless-sensing
  • mediumreadme#2
    Strengthen README opening to emphasize 'curated collection' for researchers

    Why:

    CURRENT
    A list of awesome papers and cool resources on WiFi CSI sensing. Link to the *Github* if available is also present.
    COPY-PASTE FIX
    A curated collection of awesome papers and cool resources on WiFi CSI sensing, designed for researchers and developers. Each entry includes a link to the *Github* repository if available.
  • lowhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/NTUMARS/Awesome-WiFi-CSI-Sensing

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 NTUMARS/Awesome-WiFi-CSI-Sensing
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Intel 5300/5300AGN Wi-Fi Card
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Intel 5300/5300AGN Wi-Fi Card · recommended 1×
  2. Atheros AR9588/AR9344 · recommended 1×
  3. openwrt/openwrt · recommended 1×
  4. tianyu-wang/CSI-Tool · recommended 1×
  5. OpenCSI/OpenCSI · recommended 1×
  • CATEGORY QUERY
    How can I leverage wireless signals for human activity recognition and occupancy detection?
    you: not recommended
    AI recommended (in order):
    1. Intel 5300/5300AGN Wi-Fi Card
    2. Atheros AR9588/AR9344
    3. OpenWrt (openwrt/openwrt)
    4. CSI Tool (by CSILab) (tianyu-wang/CSI-Tool)
    5. OpenCSI (OpenCSI/OpenCSI)
    6. Ettus USRP B210/B200mini
    7. Aura Air
    8. Cognitive Systems Corp.
    9. Texas Instruments (TI) IWR6843ISK/AOP/IWR1843BOOST
    10. Google Soli
    11. Acconeer A111/A121 Pulsed Coherent Radar
    12. Nordic Semiconductor nRF52 Series Development Kits (e.g., nRF52840 DK)
    13. Nordic's nRF Connect SDK (nrfconnect/sdk-nrf)
    14. TensorFlow (tensorflow/tensorflow)
    15. PyTorch (pytorch/pytorch)
    16. scikit-learn (scikit-learn/scikit-learn)

    AI recommended 16 alternatives but never named NTUMARS/Awesome-WiFi-CSI-Sensing. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find research papers and resources on channel state information for sensing applications?
    you: not recommended
    AI recommended (in order):
    1. IEEE Xplore Digital Library
    2. ACM Digital Library
    3. Google Scholar
    4. arXiv.org
    5. ResearchGate
    6. Academia.edu
    7. MIT's CSAIL
    8. Carnegie Mellon University's CyLab
    9. Stanford University's Wireless Sensing Lab

    AI recommended 9 alternatives but never named NTUMARS/Awesome-WiFi-CSI-Sensing. 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 NTUMARS/Awesome-WiFi-CSI-Sensing?
    pass
    AI did not name NTUMARS/Awesome-WiFi-CSI-Sensing — 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 NTUMARS/Awesome-WiFi-CSI-Sensing in production, what risks or prerequisites should they evaluate first?
    pass
    AI named NTUMARS/Awesome-WiFi-CSI-Sensing 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 NTUMARS/Awesome-WiFi-CSI-Sensing solve, and who is the primary audience?
    pass
    AI did not name NTUMARS/Awesome-WiFi-CSI-Sensing — 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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NTUMARS/Awesome-WiFi-CSI-Sensing — 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