RRepoGEO

REPOGEO REPORT · LITE

spencer-project/spencer_people_tracking

Default branch master · commit 09b256ba · scanned 6/8/2026, 5:28:22 PM

GitHub: 710 stars · 321 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 spencer-project/spencer_people_tracking, 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 specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    ros, robotics, people-tracking, multi-modal, mobile-robots, group-tracking, social-robotics, computer-vision, perception
  • highlicense#2
    Add a LICENSE file to clarify usage terms

    Why:

    COPY-PASTE FIX
    Add a LICENSE file with the MIT license.
  • mediumreadme#3
    Strengthen README's opening to highlight unique value for mobile robots and group tracking

    Why:

    CURRENT
    ### SPENCER Multi-Modal People Detection & Tracking Framework
    ###### Multi-modal ROS-based people and group detection & tracking framework for mobile robots developed within the context of the EU FP7 project SPENCER.
    COPY-PASTE FIX
    # SPENCER: Robust Multi-Modal People and Group Tracking for ROS-based Mobile Robots
    
    This framework provides real-time, multi-modal people and group detection and tracking capabilities specifically designed for autonomous mobile robots operating in dynamic, crowded environments.

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 spencer-project/spencer_people_tracking
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenCV
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenCV · recommended 2×
  2. OpenPTrack · recommended 1×
  3. People Tracking (ROS package by ETH Zurich) · recommended 1×
  4. Social Navigation Stack · recommended 1×
  5. Darknet_ros · recommended 1×
  • CATEGORY QUERY
    What are good ROS frameworks for real-time multi-modal people tracking on mobile robots?
    you: not recommended
    AI recommended (in order):
    1. OpenPTrack
    2. People Tracking (ROS package by ETH Zurich)
    3. Social Navigation Stack
    4. Darknet_ros
    5. RTAB-Map
    6. OpenCV

    AI recommended 6 alternatives but never named spencer-project/spencer_people_tracking. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to implement robust group detection and tracking for autonomous robots in crowded spaces?
    you: not recommended
    AI recommended (in order):
    1. OpenCV
    2. YOLOv8
    3. YOLOv7
    4. YOLOv5
    5. SSD (Single Shot MultiBox Detector)
    6. DeepSORT
    7. ByteTrack
    8. DBSCAN (Density-Based Spatial Clustering of Applications with Noise)
    9. K-means
    10. ROS (Robot Operating System)
    11. darknet_ros
    12. TensorFlow
    13. PyTorch
    14. people_msgs
    15. leg_detector
    16. people_tracker_filter
    17. Intel OpenVINO Toolkit
    18. Open Model Zoo
    19. NVIDIA JetPack
    20. DeepStream SDK
    21. NvDCF
    22. PCL (Point Cloud Library)

    AI recommended 22 alternatives but never named spencer-project/spencer_people_tracking. 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 spencer-project/spencer_people_tracking?
    pass
    AI did not name spencer-project/spencer_people_tracking — 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 spencer-project/spencer_people_tracking in production, what risks or prerequisites should they evaluate first?
    pass
    AI named spencer-project/spencer_people_tracking 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 spencer-project/spencer_people_tracking solve, and who is the primary audience?
    pass
    AI named spencer-project/spencer_people_tracking explicitly

    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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MARKDOWN (README)
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spencer-project/spencer_people_tracking — RepoGEO report