don2604 / medimind

MediMind-AI: 🩺 An AI-powered healthcare platform for accurate skin disease diagnosis and personalized skincare recommendations.

🩺 MediMind-AI 🧠

Welcome to our AI Healthcare Skin Diseases Website! This platform is dedicated to providing users with accurate information and insights about various skin diseases, powered by cutting-edge artificial intelligence technology. Our website is built using Vite for front-end development, Node.js for backend, and MongoDB as the database.

Project Overview 🌟

Workflow👩‍💻🧑‍💻

Features ✨

• AI-Powered Diagnosis: Our platform utilizes advanced machine learning algorithms to provide accurate diagnosis and information about skin diseases based on uploaded images or symptoms entered by the user.
• Comprehensive Database: We maintain a comprehensive database of various skin diseases, symptoms, and treatment options, constantly updated with the latest medical research and findings.
• Personalized Recommendations: Users can receive personalized recommendations for skincare routines and products based on their skin type and specific conditions.
• Interactive User Interface: Our website features a user-friendly interface, making it easy for users to navigate, upload images, enter symptoms, and access relevant information.
• Secure Data Handling: We prioritize the security and privacy of user data, ensuring that all information uploaded or entered by users is handled securely and in compliance with data protection regulations.

Technologies Used 💻

• Vite: Vite is used for front-end development, providing a fast and efficient development experience with its modern build tooling capabilities.
• Express.js: Node.js powers the backend of our website, enabling seamless server-side logic and integration with our MongoDB database.
• MongoDB: MongoDB serves as the database for storing user data, medical information, and other relevant content. Its flexibility and scalability make it ideal for managing diverse data types.
• Gemini: Gemini is used for artificial intelligence and machine learning (AIML) capabilities, powering the advanced algorithms for diagnosing skin diseases and providing personalized recommendations.
• NodeMailer: Nodemailer helped us to send confirmation mail to the user.
• OpenStreetMap: Provided us with map and integration.

Installation 🔧

To run the website locally, follow these steps:

1. Clone the repository: git clone https://github.com/DON2604/MediMind.git

2. Run the Frontend

   a. Navigate to the frontend directory: cd frontend

   b. Install dependencies: npm install

   c. Start the development server: npm run dev

3. Run the Backend

   a. Navigate to the backend directory: cd backend

   b. Install dependencies: npm install

   c. Create a .env file add APIs like this

    ```bash
    MONGODB_URI=YOUR_MONGODB_DATABASE_URL
    PORT=8000
    CORS_ORIGIN=*
    ACCESS_TOKEN_SECRET=SET_AN_ACCESS_TOKEN
    ACCESS_TOKEN_EXPIRY=1d
    REFRESH_TOKEN_SECRET=SET_A_REFRESH_TOKEN
    REFRESH_TOKEN_EXPIRY=7d
    GEMINI_API=YOUR_GEMINI_KEY
    EMAIL=YOUR_OUTLOOK_EMAIL_ADDRESS
    PASSWORD=EMAIL_ADDRESS_PASSWORD
    ```
   

   d. Start the development server: npm run dev

Feedback and Support 🚀

Thank you for using our AI Healthcare Skin Diseases Website! We hope it provides valuable insights and assistance for managing skin-related concerns.