Dublin Bike Availability Predictor

Dublin Bike Availability Predictor project! The systems work by providing real-time information on bike availability at stations throughout Dublin.

Project Overview

The Dublin Bike Availability Predictor enhances commuting experiences with accurate, timely data about bike stations. Using APIs and data analysis, this tool helps users make informed travel decisions.

Key Objectives

Real-Time Availability: View current bike availability at each station.
Occupancy and Weather Insights: Access data on station occupancy and weather conditions.
Station Data: Get information on bike station locations, capacities, and usage.
Historical Trends: Analyze past data to understand usage patterns.

Features

Interactive Web Application: Access bike station and weather data through a user-friendly interface.
Google Maps Integration: Visualize bike stations and availability on a map.
Mobile-Friendly Design: Enjoy a seamless experience across devices.

System Architecture

AWS Infrastructure: Uses AWS EC2 for deployment and AWS RDS for database management.
Flask: Framework for web application development.
Conda: Manages development and production environments.
MySQL: Database for bike station data.

Implementation Plan

Planning: Define requirements and data collection strategies.
Database Setup: Configure the database.
API Development: Build APIs for weather and bike station data.
Data Analysis: Clean and analyze collected data.
Web Deployment: Deploy the application using Apache on AWS.

Explore the Project

For more details, visit the Dublin Bike Availability Predictor GitHub Repository.

Join us in enhancing urban commuting with the Dublin Bike Availability Predictor, combining technology and data for a better biking experience.