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Article Title: An Enhanced Skin Disease Vitiligo and Ringworm Recognition Android Application Using Image Analysis.

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“3rd International Conference on Intelligent Communication Technologies and Virtual Mobile Networks

Author(s): Ms.Dipali Dilip Awasekar

eCF Paper Id: ICICV-277

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Group Members:

  • Kiran K. Joshi
  • Gayatri P. Gundla
  • Pradip S. Bhutada
  • Pournima P. Kota
  • Deepak M. Gupta

Guided by: Prof. Ms. D. D. Awasekar

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“To recognize specific skin disease using diseased area skin images and symptoms as input from the User. And suggesting some temporary home remedies.”

Objective:

Automation of skin disease (Ringworm and Vitiligo) recognition demonstrating UI design.

Project Idea:

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What is Skin Disease?

  • Skin is largest body organ but also the most sensitive due to exposure of ultraviolet rays of Sun and infectious to various kinds of bacteria.
  • The infection may be contagious or non-contagious depending on type of skin disease.
  • These color of skin and rashes is used to detect the kind of skin disease patch.

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Some Different Types of Skin Diseases

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No.

Color Analysis of Disease

Disease

Picture

1.

Reddish patch on Hand.

Ringworm

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2.

Discolored patch on Leg.

Vitiligo

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Technology Stack

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  • Admin Side: HTML, CSS, PHP
  • Client-Side: Android Studio
  • Database: Xampp Mysql.

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System Architecture

Open System Architecture

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Inputs to Proposed System:

Image Input:

  • The input image should be concentrated disease skin image.
  • In Ringworm there are occurrence of spots with reddish color rashes and in Vitiligo there are discolored patches on different areas of the body.

Symptoms input:

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  • The symptoms should be selected from given checklist.

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Constraints:

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For Our Project we have defined some constraints which are as follows: -

  1. The input- image should be focused on Skin Body Part for Analysis of Vitiligo and Ringworm.
  2. There should be no flash effect on input-image .
  3. User needs to input both symptoms and image for recognition of skin disease.

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Output of Proposed System

Detailed report of the user.

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Project Snapshots

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Open Project Snapshots

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Thank You