RRepoGEO

REPOGEO REPORT · LITE

NirantK/awesome-project-ideas

Default branch master · commit 31f6fb0d · scanned 5/27/2026, 1:38:40 PM

GitHub: 9,116 stars · 1,289 forks

AI VISIBILITY SCORE
27 /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
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 NirantK/awesome-project-ideas, 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's opening paragraph to target audience

    Why:

    CURRENT
    A curated list of practical deep learning and machine learning project ideas
    COPY-PASTE FIX
    A curated list of practical deep learning and machine learning project ideas, perfect for building your portfolio, learning new skills, or finding inspiration for hackathons and research projects. Whether you're a beginner or an experienced practitioner, these ideas span various domains like NLP, Vision, and Recommender Systems.
  • mediumtopics#2
    Add topics for "project ideas" and "portfolio"

    Why:

    CURRENT
    awesome, awesome-list, classification, dataset, deep-learning, forecasting, image-classification, machine-learning, multi-label-classification, series-forecasting
    COPY-PASTE FIX
    awesome, awesome-list, classification, dataset, deep-learning, forecasting, image-classification, machine-learning, multi-label-classification, series-forecasting, project-ideas, portfolio-projects, beginner-friendly, machine-learning-projects, deep-learning-projects
  • mediumabout#3
    Refine the repository description

    Why:

    CURRENT
    Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
    COPY-PASTE FIX
    Curated list of practical Machine Learning, NLP, Vision, and Recommender Systems project ideas for building portfolios, learning, and research.

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 NirantK/awesome-project-ideas
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Kaggle
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Kaggle · recommended 1×
  2. Towards Data Science (Medium) · recommended 1×
  3. Awesome Machine Learning Projects · recommended 1×
  4. DataCamp Projects · recommended 1×
  5. Analytics Vidhya · recommended 1×
  • CATEGORY QUERY
    Where can I find interesting machine learning project ideas for my portfolio?
    you: not recommended
    AI recommended (in order):
    1. Kaggle
    2. Towards Data Science (Medium)
    3. Awesome Machine Learning Projects
    4. DataCamp Projects
    5. Analytics Vidhya
    6. Google Dataset Search
    7. UCI Machine Learning Repository

    AI recommended 7 alternatives but never named NirantK/awesome-project-ideas. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for practical deep learning and NLP project ideas suitable for beginners.
    you: not recommended
    AI recommended (in order):
    1. Keras/TensorFlow (tensorflow/tensorflow)
    2. GloVe
    3. Word2Vec
    4. Scikit-learn (scikit-learn/scikit-learn)
    5. spaCy (explosion/spaCy)
    6. Hugging Face Transformers (huggingface/transformers)
    7. sumy (miso-belica/sumy)
    8. NLTK (nltk/nltk)

    AI recommended 8 alternatives but never named NirantK/awesome-project-ideas. 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 NirantK/awesome-project-ideas?
    pass
    AI did not name NirantK/awesome-project-ideas — 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 NirantK/awesome-project-ideas in production, what risks or prerequisites should they evaluate first?
    pass
    AI named NirantK/awesome-project-ideas 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 NirantK/awesome-project-ideas solve, and who is the primary audience?
    pass
    AI did not name NirantK/awesome-project-ideas — 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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NirantK/awesome-project-ideas — 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