LLG Meetup Page: Dynamic Event Platform

Project Overview: The LLG Meetup Page is a dynamic event platform built for the London Longboard Girls community. It provides real-time information about upcoming meetups, including weather forecasts, organiser updates, and an interactive countdown timer, all designed to enhance the community experience.

Links

• Live Demo
• GitHub Repository

Objectives

1. Create a centralised platform for meetup information
2. Integrate real-time weather data for better planning
3. Provide a clean, user-friendly interface for community members
4. Enable organisers to easily update meetup information

Features

1. Real-time Weather Integration:

   • Weather forecasts powered by OpenMeteo API
   • Current conditions and predictions
   • Helps skaters plan for optimal conditions

2. Dynamic Updates System:

   • Integration with SheetsDB for organiser messages
   • Real-time updates from meetup organisers
   • Easy-to-maintain content management

3. Interactive Countdown:

   • Live countdown to next meetup
   • Visual timer for upcoming events
   • Enhanced anticipation and planning

4. Modern UI/UX:

   • Built with Shadcn UI components
   • Responsive design for all devices
   • Clean, intuitive interface

Technology Stack

• Framework: Next.js with TypeScript
• UI Components: Shadcn UI
• Styling: Tailwind CSS
• Icons: Lucide
• APIs:
  • OpenMeteo for weather data
  • SheetsDB for content management

Future Improvements

1. Enhanced Weather Features:

   • Predictive skating conditions
   • Ground dryness predictions
   • Historical weather data analysis

2. Branding Updates:

   • Integration of high-res LLG logo
   • Custom branding assets
   • Enhanced visual identity

3. Community Features:

   • User accounts for regular attendees
   • Meetup history tracking
   • Community feedback system

Outcome

The LLG Meetup Page successfully provides a centralised platform for the London Longboard Girls community, making it easier for organisers to communicate and for members to stay informed about upcoming events. The project demonstrates effective integration of real-time data and modern web technologies to serve a specific community need.