Weevent

A dynamic platform that transforms how users discover local events and points of interest. Features an interactive map interface, event interaction tools, and AI-powered recommendations. Designed to connect communities and make exploring nearby happenings effortless.

Why It's Cool

• Interactive Map Interface: Discover events on a dynamic map with detailed information, navigation options, and location-based filtering
• Event Engagement: Follow, like, and share events to enhance community engagement and event discovery
• Event Advertising: Platform for organizers to promote events to a wider audience
• AI-Powered Recommendations: Personalized event suggestions powered by Llama 3.2 AI assistant (coming soon)
• Cross-Platform: Responsive design accessible on both desktop and mobile devices
• Favorites System: Save events for future reference with easy-to-use favorite functionality

Tech Stack

• Frontend: HTML5, JavaScript, CSS
• Backend: MySQL, Python (framework under selection)
• AI: Llama 3.2 (planned)
• APIs: Various location and event APIs

How to Run Locally

1. Clone the repository:

   git clone https://github.com/Bogdusik/Weevent.git
   cd Weevent

2. Set up backend:

   cd backend/weevents_backend
   # Follow backend setup instructions

3. Set up frontend:

   cd frontend
   # Open index.html or use a local server
   python -m http.server 8000

4. Configure database:

   • Set up MySQL database
   • Configure connection in backend settings

Note: Backend framework is under selection. Check project structure for current implementation.

Project Structure

Weevent/
├── frontend/                   # Frontend Application
│   ├── [HTML/CSS/JS files]    # Frontend code
│   └── styles/                 # CSS styles
│
├── backend/                    # Backend Application
│   └── weevents_backend/       # Backend code
│
├── scripts/                    # Utility Scripts
│   └── [script files]
│
├── images/                     # Static Assets
│   └── [image files]
│
└── [config files]             # Configuration files
    └── README.md

What I Learned

• Interactive Maps: Integrated map functionality for location-based event discovery and visualization
• Event Management Systems: Designed data models and workflows for event creation, discovery, and interaction
• Community Features: Implemented social features like following, liking, and sharing events
• Responsive Design: Built cross-platform interface optimized for both desktop and mobile experiences
• Database Design: Structured MySQL database schema for events, users, and interactions
• AI Integration Planning: Designed architecture for AI-powered event recommendations and conversational assistance

Fork it, use it, improve it - open to PRs!