CafeConnect

Welcome to CafeConnect! This project is a hub for coffee enthusiasts and remote workers, providing a platform where users can discover cafes with the best amenities for working on the go. Whether you're looking for strong WiFi, a cozy atmosphere, or a good cup of coffee, Cafe Connect is here to help you find the perfect spot.

Features

• User Authentication: Secure login and registration.
• Cafe Listings: Browse a curated list of cafes with details on amenities, WiFi strength, and more.
• Find Nearby Cafes: Discover cafes in your vicinity for convenience and ease.
• Add Cafes: Allows users to add new cafes to the platform, contributing to a growing and diverse list of coffee spots.
• Featured Top-Rated Cafes: Highlights the best cafes based on user ratings and reviews.
• API Access: Access cafe data via a RESTful API for management and integration with other applications.

Planned Features

Upcoming features in the future:

• Community Reviews: Users will be able to leave and read reviews of cafes to help others find the best spots.
• Personalized Recommendations: Cafe suggestions based on user preferences.
• Interactive Map: An interactive map to visualize cafe locations and see nearby options.
• Cafe Gallery: Each cafe will display a gallery of images to provide users with a visual overview of the ambiance, amenities, and more. Images will be contributed by admins and users, making the experience more community-driven.

Stay tuned!

Tech Stack

• Flask: Backend framework.
• Bootstrap & Javascript: UI design and interactive front-end.
• SQLAlchemy: ORM for database management.
• Flask-WTF: Form handling and validation.
• Flask-Login: User session management.
• SQLite: Database for storing cafe and user data.
• Flask-RESTful: API creation and management.

Getting Started

1. Clone the Repository

   git clone https://github.com/ser-arthur/cafe-connect-website.git
   cd cafe-connect-website

2. Create a Virtual Environment

   python -m venv venv
   source venv/bin/activate  # Windows: `venv\Scripts\activate`

3. Install Requirements

   pip install -r requirements.txt

4. Run the Application

   python run.py

   The application will be accessible at:

   http://localhost:5000/    # localhost address may differ depending on your system configuration

Live Deployment

The application is also deployed and accessible online at CafeConnect.

API Documentation

Check the API file for details on using the API.

Contributing

Feel free to contribute to the project by submitting issues or pull requests.

License

This project is licensed under the AGPL-3.0 License - see the LICENSE file for details.

Author

Kobby S. Arthur