Dermacare

Project Overview

Dermacare.-.Demo.mp4

• Dermacare is a web-based platform designed to analyze skin conditions based on user uploaded photos. The project provides a user-friendly tool for early detection and diagnosis of skin diseases, enhancing overall skin health awareness.
• We created this project as a social cause because skin diseases continue to be the 4th leading cause of nonfatal disease burden worldwide. However, it is very difficult to provide better dermatological care to under-served or resource-poor regions in a cost-effective manner owing to the unavailability of efficient diagnostic tools, lack of connectivity, and poor laboratory infrastructure etc.
• Thus, developing an Artificial intelligence-based tool (through Image processing technique) for preliminary diagnosis of numerous dermatological conditions will prove to be a boon in the health care system.

Key Features of Project:

• High Accuracy Disease Prediction with Deep Learning: Our website boasts an 80% accurate disease prediction utilizing cutting edge deep learning technology.

• Personalized PDF Report: We provide a comprehensive personalized PDF report for every user, presenting detailed health insights including diagnosis, causes, symptoms, medicines suggestions, and recommendations.

• Email Integration for Report Delivery: Our seamless email integration ensures delivery of the personalized PDF health report to users. This feature enhances user experience, making health information easily accessible.

• Locality Based Hospitals: Our website uniquely offers information about hospitals in the user's locality. This feature ensures swift access to healthcare professionals, adding a practical dimension to our platform.

Tech Stack

• Dermacare is built using the MERN (MongoDB, Express.js, React, Node.js) stack.
• Machine Learning Framework: TensorFlow
• Data Visualization: Matplotlib, Seaborn
• Data Handling and Preprocessing: NumPy, Pandas
• Material UI and SCSS are used for designing the website.

How to run this project locally:

Prerequisites:

Before running Dermacare locally, ensure that you have the following NodeJs and Python installed on your machine.

Getting Started 🚀

1. Clone the repository:

   git clone <repository-url>

2. Install dependencies:
   

   For Frontend:

   cd frontend
   npm install

   For Backend:

   cd backend
   npm install

   For model integration

   cd modelBackend
   pip install -r requirements.txt

3. Start the development environment:

   For Frontend:

   cd frontend
   npm run start

   For Backend:

   cd backend
   npm run start

   For model integration

   cd modelBackend
   py app.py

4. Access Dermacare:

   Open your web browser and navigate to http://localhost:3000/ to access the Dermacare website.