Skin Disease Diagnosis - Backend API 🩺

Author: Youssef Hatem

This repository contains the Backend API demo for the Skin Disease Diagnosis application. The complete project was developed using Flutter for the frontend and this backend to handle predictions using a machine learning model.

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📝 Project Overview

The Skin Disease Diagnosis app assists in identifying common skin conditions by uploading skin images and getting accurate predictions. This backend API performs image classification and returns disease predictions to the Flutter frontend.

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📹 Demo Video

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🔍 API Features

• Endpoint for Predictions: Accepts image uploads and returns predicted results.
• JSON-based API: Facilitates easy integration with the Flutter app.
• ML Model Integration: The backend runs a CNN-based model to classify skin diseases.

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⚙️ Tech Stack

• Backend Framework: FastAPI
• Machine Learning: TensorFlow/Keras
• Deployment: Localhost / Cloud
• Data Handling: python libraries for image processing
• API Communication: JSON responses for Flutter integration

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🚀 How to Run the Backend Locally

1. Clone the repository:

   git clone https://github.com/youssef13494/Skin_App.git