REPOGEO REPORT · LITE

vijishmadhavan/SkinDeep

Default branch master · commit 7fccdc6c · scanned 6/9/2026, 10:22:58 PM

GitHub: 955 stars · 109 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 vijishmadhavan/SkinDeep, 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 H1 and opening paragraph to clarify purpose

Why:

CURRENT

# SkinDeep &nbsp; [](https://twitter.com/intent/tweet?text=Skin%20Deep&url=https://github.com/vijishmadhavan/SkinDeep&via=Vijish68859437&hashtags=machinelearning,developers,100DaysOfCode,Deeplearning) &nbsp;

__Contact__: vijishmadhavan@gmail.com

You can sponsor me to support my open source work 💖 sponsor

## Updates

COPY-PASTE FIX

# SkinDeep: AI-powered Tattoo and Body Art Removal from Images

SkinDeep leverages deep learning to automatically remove tattoos and other body art from images, offering an efficient alternative to manual retouching. This project was inspired by the complex process of covering tattoos for media production, aiming to bring advanced image manipulation capabilities to everyone. Get Deinked!!

__Contact__: vijishmadhavan@gmail.com

You can sponsor me to support my open source work 💖 sponsor

## Updates

mediumtopics#2

Add application-specific topics

Why:

CURRENT

controlnet, stable-diffusion

COPY-PASTE FIX

controlnet, stable-diffusion, tattoo-removal, image-inpainting, body-art-editing, generative-ai

mediumhomepage#3

Add a homepage URL to the About section

Why:

COPY-PASTE FIX

Add a URL to the repository's 'About' section that links to a live demo, project page, or a relevant resource for SkinDeep.

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 vijishmadhavan/SkinDeep

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Adobe Photoshop

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Adobe Photoshop · recommended 1×
Luminar Neo · recommended 1×
PhotoRoom · recommended 1×
Cleanup.pictures · recommended 1×
Fotor · recommended 1×

CATEGORY QUERY
How can I use AI to automatically remove tattoos or body art from images?
you: not recommended
AI recommended (in order):
1. Adobe Photoshop
2. Luminar Neo
3. PhotoRoom
4. Cleanup.pictures
5. Fotor
6. PicsArt
AI recommended 6 alternatives but never named vijishmadhavan/SkinDeep. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are efficient deep learning methods for digitally erasing unwanted skin markings in photos?
you: not recommended
AI recommended (in order):
1. LaMa (saic-md/lama)
2. GLIDE (openai/glide-text2im)
3. Stable Diffusion Inpainting (CompVis/stable-diffusion)
4. DeepFillv2 (JiahuiYu/deepfillv2)
5. EdgeConnect (knazeri/EdgeConnect)
6. PConv (NVIDIA/partialconv)
7. Pix2Pix (phillipi/pix2pix)
8. CycleGAN (junyanz/CycleGAN)
AI recommended 8 alternatives but never named vijishmadhavan/SkinDeep. 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 vijishmadhavan/SkinDeep?
pass
AI named vijishmadhavan/SkinDeep explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts vijishmadhavan/SkinDeep in production, what risks or prerequisites should they evaluate first?
pass
AI named vijishmadhavan/SkinDeep 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 vijishmadhavan/SkinDeep solve, and who is the primary audience?
pass
AI did not name vijishmadhavan/SkinDeep — 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 vijishmadhavan/SkinDeep. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/vijishmadhavan/SkinDeep.svg)](https://repogeo.com/en/r/vijishmadhavan/SkinDeep)

HTML

<a href="https://repogeo.com/en/r/vijishmadhavan/SkinDeep"><img src="https://repogeo.com/badge/vijishmadhavan/SkinDeep.svg" alt="RepoGEO" /></a>

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vijishmadhavan/SkinDeep — 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