RRepoGEO

REPOGEO REPORT · LITE

KalyanM45/AI-Project-Gallery

Default branch main · commit 9d599744 · scanned 6/29/2026, 10:43:28 PM

GitHub: 5,917 stars · 1,165 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 KalyanM45/AI-Project-Gallery, 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 clear introductory sentence to the README explaining the repo's purpose

    Why:

    CURRENT
    The README currently starts directly with a project table.
    COPY-PASTE FIX
    This repository is a personal gallery of Artificial Intelligence projects, covering Machine Learning, Deep Learning, and Generative AI. It showcases practical examples and advanced techniques, serving as a resource for learning and inspiration.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root, choosing an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that reflects how you want others to use your project examples.
  • mediumhomepage#3
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    Add a URL to your personal portfolio, a project showcase page, or a live demo of one of the key projects in the 'About' section of the repository.

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 KalyanM45/AI-Project-Gallery
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
tensorflow/models
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. tensorflow/models · recommended 1×
  2. pytorch/examples · recommended 1×
  3. huggingface/transformers · recommended 1×
  4. deeplearning-ai/generative-ai-with-llms · recommended 1×
  5. karpathy/minGPT · recommended 1×
  • CATEGORY QUERY
    Show me repositories with various machine learning, deep learning, and generative AI project examples.
    you: not recommended
    AI recommended (in order):
    1. Google's TensorFlow Examples (tensorflow/models)
    2. PyTorch Examples (pytorch/examples)
    3. Hugging Face Transformers Examples (huggingface/transformers)
    4. DeepLearning.AI's Generative AI with Large Language Models (LLMs) Course Notebooks (deeplearning-ai/generative-ai-with-llms)
    5. The Hello World of Generative AI (by Andrej Karpathy) (karpathy/minGPT)
    6. Awesome Machine Learning/Deep Learning/Generative AI Lists (josephmisiti/awesome-machine-learning)
    7. Kaggle Notebooks

    AI recommended 7 alternatives but never named KalyanM45/AI-Project-Gallery. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find practical examples of computer vision and natural language processing projects?
    you: not recommended
    AI recommended (in order):
    1. Kaggle
    2. GitHub
    3. Hugging Face Hub
    4. Transformers
    5. Papers With Code
    6. Towards Data Science
    7. Medium
    8. PyTorch Examples
    9. TensorFlow Examples
    10. fast.ai Course Notebooks
    11. fastai library

    AI recommended 11 alternatives but never named KalyanM45/AI-Project-Gallery. 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 KalyanM45/AI-Project-Gallery?
    pass
    AI named KalyanM45/AI-Project-Gallery explicitly

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

  • If a team adopts KalyanM45/AI-Project-Gallery in production, what risks or prerequisites should they evaluate first?
    pass
    AI named KalyanM45/AI-Project-Gallery 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 KalyanM45/AI-Project-Gallery solve, and who is the primary audience?
    pass
    AI did not name KalyanM45/AI-Project-Gallery — 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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KalyanM45/AI-Project-Gallery — 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