azarafath/Flutter-Skined
Aplikasi deteksi penyakit kulit menggunakan AI. Dibuat untuk menyelesaikan Tugas Akhir AI Mastery Program Orbit Future Academy X SIB Kampus Merdeka 2022.
This application helps healthcare professionals quickly identify potential skin diseases by analyzing images. You input a photo of a skin condition, and the AI provides a probable diagnosis. It's designed for dermatologists, general practitioners, or medical students who need an initial assessment tool.
No commits in the last 6 months.
Use this if you need a rapid, AI-powered preliminary analysis of a skin lesion from an image.
Not ideal if you require a definitive diagnosis or are dealing with highly complex or rare dermatological conditions.
Stars
19
Forks
2
Language
Dart
License
—
Category
Last pushed
Apr 17, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/azarafath/Flutter-Skined"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Michael-OvO/Skin-Burn-Detection-Classification
Highly Accurate and Efficient Burn detection and Classification trained with Deep Learning Model
Tirth27/Skin-Cancer-Classification-using-Deep-Learning
Classify Skin cancer from the skin lesion images using Image classification. The dataset for the...
aevri/mel
Tools to help identify new and changing moles on the skin with the goal of early detection of...
samhaswon/skin_segmentation
This repository details the various methods I have attempted for skin segmentation.
ImageMarkup/isic-archive
International Skin Imaging Collaboration: Melanoma Project