RRepoGEO

REPOGEO REPORT · LITE

geekwenjie/SmartJavaAI

Default branch master · commit 553c195f · scanned 6/4/2026, 3:37:12 AM

GitHub: 870 stars · 148 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 geekwenjie/SmartJavaAI, 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
    Add a concise English summary to the README's top

    Why:

    COPY-PASTE FIX
    Add this line right after the badges/title: "SmartJavaAI is a lightweight, free, and offline AI algorithm toolkit for Java developers, simplifying the integration of computer vision (face, object, OCR), NLP (ASR, TTS, translation), and other AI models."
  • mediumabout#2
    Refine the GitHub 'About' description for conciseness and keyword density

    Why:

    CURRENT
    🔥🔥🔥Java免费离线AI算法工具箱，支持人脸识别，活体检测，表情识别、目标检测、实例分割、行人检测、OCR文字识别、车牌识别、表格识别、ASR+TTS、机器翻译等功能，Maven引用即可使用。支持PyTorch、Tensorflow，已集成 Mtcnn、InsightFace、SeetaFace6、YOLOv8~v12、PaddleOCR(PPOCRv5)、Whisper等主流模型
    COPY-PASTE FIX
    Java AI toolkit for offline computer vision (face, object, OCR), NLP (ASR, TTS, translation), and more. Integrates PyTorch, TensorFlow, YOLO, PaddleOCR, Whisper. Easy Maven setup for Java developers.
  • mediumreadme#3
    Clarify the project's license within the README

    Why:

    COPY-PASTE FIX
    Add a section like: "## License
This project is licensed under the terms specified in the `LICENSE` file. Please refer to the `LICENSE` file for full details on usage and distribution."

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 geekwenjie/SmartJavaAI
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Deeplearning4j (DL4J)
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Deeplearning4j (DL4J) · recommended 2×
  2. OpenCV · recommended 2×
  3. Apache OpenNLP · recommended 2×
  4. Tesseract OCR · recommended 2×
  5. Stanford CoreNLP · recommended 1×
  • CATEGORY QUERY
    How can I easily add offline AI capabilities like computer vision and NLP to my Java projects?
    you: not recommended
    AI recommended (in order):
    1. Deeplearning4j (DL4J)
    2. OpenCV
    3. Apache OpenNLP
    4. Stanford CoreNLP
    5. ONNX Runtime
    6. Tesseract OCR
    7. DJL (Deep Java Library)

    AI recommended 7 alternatives but never named geekwenjie/SmartJavaAI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a comprehensive Java AI toolkit for various tasks like face detection, OCR, and speech.
    you: not recommended
    AI recommended (in order):
    1. Deeplearning4j (DL4J)
    2. OpenCV
    3. Tesseract OCR
    4. Google Cloud AI Platform
    5. Amazon Web Services (AWS) AI/ML
    6. Microsoft Azure AI
    7. Apache OpenNLP

    AI recommended 7 alternatives but never named geekwenjie/SmartJavaAI. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 geekwenjie/SmartJavaAI?
    pass
    AI named geekwenjie/SmartJavaAI explicitly

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

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

Drop this badge into the README of geekwenjie/SmartJavaAI. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
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geekwenjie/SmartJavaAI — 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