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Idea - FICS

Derma Cure - Skin Analysis

Team and Contact Details

Student Name School Degree Year Email
M. Musa KhanCS - Computer ScienceUndergraduateFourth[email protected]
Hannan QamarCS - Computer ScienceUndergraduateFourth[email protected]
M. SufyanCS - Computer ScienceUndergraduateFourth[email protected]

Inter School Idea ? No
Do you need expertises from another area: No
If Yes please provide details of expertises you need:

Idea Details

Idea Name: Derma Cure - Skin Analysis
Slogan: We value your privacy.
Supervisor Name: Saeed Iqbal Khattak
Supervisor Designation: Assistance professor
Supervisor School: Other
Supervisor Department: Faculty of Information Technology (FoIT)
Contact number: 0333-9533493
Email ID: [email protected]
Abstract:
    There is a need for an automatic skin disease detection system with high accuracy. Classification of skin diseases using medical images is more challenging because of data set Imbalancing and data privacy. A breathtaking idea to analyze human skin while ensuring data security is the CNN-based skin disease classification combined with the federated learning approach.
What is the unmet need in society that your idea will fulfill ?
    Patients often ignore early skin disease symptoms that may worsen as time passes. Some skin conditions do not manifest symptoms for several months, allowing the illness to spread and cost the patient more. There is a rising need for an automatic skin disease detection system with high accuracy.
Who needs it ? How many would benefit ?
   Due to the lack of medical facilities available in remote areas many dermatological diseases go undetected. Many people can't afford to go to the dermatologist for a tiny spot-on skin. There are a lot of women who have privacy concerns about revealing their skin to doctors.
How will the solution works
    We proposed a mobile application “DermaCure “to detect and analyze skin diseases. This app takes a digital image of the skin area, then uses image analysis to identify the specific affected area then uses different machine learning algorithms to detect the type of disease. Our app will predict skin infections of generally Light, Fair, and medium skin tones but not work correctly on darker tones. It will cover 7 - 10 types of diseases. A user only needs a smartphone.
Who are your competitors ? How is your solution different
    we have global competitors because there is no such work done in Pakistan. There are different mobile app available on google and play store that takes the image and ask several questions related to the user's skin condition to propose a solution based on the answers given by the user.
Status: new
Entry Date & Time: 2022-12-30 (1135)