RRepoGEO

REPOGEO REPORT · LITE

ngxson/smolvlm-realtime-webcam

Default branch main · commit 37b62fc3 · scanned 5/12/2026, 4:58:00 AM

GitHub: 5,551 stars · 897 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 ngxson/smolvlm-realtime-webcam, 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 emphasize VLM and browser-based demo

    Why:

    CURRENT
    This repository is a simple demo for how to use llama.cpp server with SmolVLM 500M to get real-time object detection
    COPY-PASTE FIX
    This repository demonstrates a real-time, browser-based Vision-Language Model (VLM) inference from a webcam feed, leveraging `llama.cpp` server with SmolVLM 500M. It showcases local, low-latency VLM capabilities directly in your web browser.
  • hightopics#2
    Add specific topics for VLM, real-time, and web technologies

    Why:

    COPY-PASTE FIX
    vlm, vision-language-model, llama-cpp, smolvlm, real-time, webcam, browser, javascript, demo, local-inference
  • mediumreadme#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    This project includes a `LICENSE` file. Please refer to it for specific licensing terms, as it is not a standard SPDX template.

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 ngxson/smolvlm-realtime-webcam
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
opencv/opencv
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. opencv/opencv · recommended 3×
  2. microsoft/onnxruntime · recommended 2×
  3. YOLO · recommended 1×
  4. SSD · recommended 1×
  5. tensorflow/tensorflow · recommended 1×
  • CATEGORY QUERY
    How to implement real-time object detection from a webcam feed using a local model?
    you: not recommended
    AI recommended (in order):
    1. OpenCV (opencv/opencv)
    2. YOLO
    3. SSD
    4. ONNX Runtime (microsoft/onnxruntime)
    5. TensorFlow Lite (tensorflow/tensorflow)
    6. Ultralytics YOLO (ultralytics/ultralytics)
    7. PyTorch (pytorch/pytorch)
    8. MediaPipe (google/mediapipe)
    9. Coral Edge TPU
    10. Detectron2 (facebookresearch/detectron2)
    11. MMDetection (open-mmlab/mmdetection)

    AI recommended 11 alternatives but never named ngxson/smolvlm-realtime-webcam. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are options for integrating a vision-language model with a web interface for live camera input?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers.js (xenova/transformers.js)
    2. MediaStream API
    3. React (facebook/react)
    4. Vue (vuejs/vue)
    5. Svelte (sveltejs/svelte)
    6. OpenCV.js (opencv/opencv)
    7. TensorFlow.js (tensorflow/tfjs)
    8. ONNX Runtime Web (microsoft/onnxruntime)
    9. FastAPI (tiangolo/fastapi)
    10. Flask (pallets/flask)
    11. OpenCV (opencv/opencv)
    12. Hugging Face Transformers (huggingface/transformers)
    13. LLaVA (haotian-liu/LLaVA)
    14. BLIP (salesforce/BLIP)
    15. WebSockets
    16. websockets library in Python (aaugustin/websockets)
    17. socket.io (socketio/socket.io)
    18. Express (expressjs/express)
    19. node-canvas (Automattic/node-canvas)
    20. sharp (lovell/sharp)
    21. OpenAI Vision API
    22. Google Cloud Vision API
    23. Azure AI Vision
    24. GStreamer (GStreamer/gstreamer)
    25. FFmpeg (FFmpeg/FFmpeg)
    26. WebRTC
    27. DeepStream

    AI recommended 27 alternatives but never named ngxson/smolvlm-realtime-webcam. 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 ngxson/smolvlm-realtime-webcam?
    pass
    AI named ngxson/smolvlm-realtime-webcam explicitly

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

  • If a team adopts ngxson/smolvlm-realtime-webcam in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ngxson/smolvlm-realtime-webcam 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 ngxson/smolvlm-realtime-webcam solve, and who is the primary audience?
    pass
    AI did not name ngxson/smolvlm-realtime-webcam — 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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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite