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Derma-Skin App

Derma is a mobile application developed as part of the SE5104: Mini Project course module at Sabaragamuwa University. It aims to provide users with the tools and knowledge to identify skin conditions, receive preventive care advice, and access professional medical guidance.

Motivation Behind Derma

Skin diseases affect approximately one in three people worldwide (WHO). Despite the widespread nature of these issues, many avoid seeking medical advice due to time constraints, stigma, or lack of awareness about the seriousness of their conditions. From mild rashes to severe diseases such as skin cancer or STDs, undiagnosed issues can worsen over time. Derma was created to address this gap by providing an easy, accessible, and private platform for users to assess their skin health and take preventive measures.

Technologies Used

    🔹 Frontend: Flutter
    🔹 Backend: Python
    🔹 Database: Firebase
    🔹 Machine Learning: TensorFlow, OpenCV
    🔹 API Integration: UV Exposure API

Features

    ✅ User Registration & Login: Secure and easy account setup.
    ✅ Risk Profile: Maintain and track your skin health.
    ✅ Identify Skin Type: Tailored insights based on your skin type.
    ✅ Photo Upload for Disease Prediction: Get quick predictions of your skin condition.
    ✅ Dietary Recommendations: Receive personalized advice on foods to eat and avoid.
    ✅ Nearby Clinics: Find doctors and specialists for further consultation.
    ✅ UV Exposure Information: Real-time UV index based on your location.
    ✅ Profile Management: Easy settings and profile customization.

This is the Full Demo of the project



Demo.mp4

This is the screenshots of the system



About

Flutter | Python | Firebase | TensorFlow | OpenCV | UV Exposure API

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