SKIN DISEASE DIAGNOSIS

Inspiration

This project is mainly made to Detect the various known Skin Disease that affects the millions of people in the world which makes the impact in their health conscious either in physically or mentally. There are more manual diagnoses are also done by dermatologists but while it takes time to identify the disease in remote areas there is a shortage of healthcare professionals and Inorder to make the people to being aware of Skin Diseases.

What it does

There are more manual diagnoses are also done by dermatologists but while it takes time to identify the disease in remote areas there is a shortage of healthcare professionals and some people are not aware of such diseases. To overcome this,an "Automated Skin Disease Diagnosis System" has developed , that can assist in faster and accurate information of the skin disease to the End User.

How we built it

A Dataset is Collected from The International Skin Imaging Collaboration and Further Preprocessed for Classification. And then ,A deep learning model using convolutional neural networks (CNNs) has been created. The model is trained on a dataset consisting of more than 18,000 images which are categorized by various skin diseases.Each Categorized class corresponds to a specific skin Disease condition. such as melanoma, nevus, or psoriasis,viz.

Accomplishments that we're proud of

Self Diagnosis have been Improved and Progressive Medications / Consultations Can be taken by People whose lives in Rural Sectors.This Model can able to predict the User is Caused by which Skin Disease as Specifically.This model able to suggest alternative diagnoses make it a valuable tool in the field of dermatology.It supports early detection and treatment of skin diseases, making a significant contribution to healthcare by improving patient outcomes and reducing the burden of skin-related health issues.

Future Factors

In Upcoming, The Model can be able to Give some Medications to the User which they are treated to overcome from the Affected Disease,The Medication Data are under process which require more clarrification from the Dermatologists About to Instructing the Medications to the users in Real Time.