Fashion Forecast

Fashion Forecast is a web application that helps users plan their outfits based on the weather forecast. Users can sign up, log in, and receive outfit suggestions tailored to their location and weather conditions.

Table of Contents

• Features
• Installation
• Usage
• Configuration
• Contributing

Features

• User authentication with email and username
• Weather-based outfit suggestions
• Responsive design for various screen sizes
• Integration with external weather and geolocation services

Installation

To get a local copy up and running, follow these steps:

1. Clone the repository:

   git clone https://github.com/yourusername/fashion-forecast.git
   cd fashion-forecast

2. Install dependencies:

   Make sure you have Node.js and npm installed.

   npm install

3. Set up environment variables:

   Create a .env file in the root directory and add your environment variables:

   DB_STRING=your_database_connection_string
   DB_NAME=your_database_name
   SESSION_SECRET=your_session_secret
   CLOUDINARY_CLOUD_NAME=your_cloudinary_cloud_name
   CLOUDINARY_API_KEY=your_cloudinary_api_key
   CLOUDINARY_API_SECRET=your_cloudinary_api_secret
   PORT=3000
   WEATHER_API_KEY= your_weather_api_key
   

   • Cloudinary Setup:
     • Sign up for a Cloudinary account.
     • Once logged in, navigate to the Cloudinary Dashboard to find your Cloud Name, API Key, and API Secret.
     • Add these credentials to your .env file as shown above.

4. Run the application:

   npm start

   The application will be available at http://localhost:3000.

Usage

• Sign Up: Create an account using your email, username, and password.
• Log In: Access your account using either your email or username along with your password.
• Get Outfit Suggestions: Receive outfit recommendations based on the current weather in your location.

Configuration

• Database: The application uses MongoDB. Ensure your MongoDB instance is running and accessible.
• Weather and Geolocation Services: Integrate with external APIs for weather and geolocation data. Ensure you have the necessary API keys and configurations.

Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/YourFeature).
3. Commit your changes (git commit -m 'Add some feature').
4. Push to the branch (git push origin feature/YourFeature).
5. Open a pull request.