dBikes Planner: A predictive journey planner Android app and Python back-end API for Dublin Bikes

Schedule and Predictions for Dublin Bikes using the Dublin Bikes API, OpenWeatherMap API, Google Maps, Flask & Data Analytics using Pandas & Sklearn.

Offline Dublin bikes web application

Using geolocation display Dublin bike stations near you

Analysis of the impact of pandemic on Dublin Bikes and how the usage changed during post-pandemic period.

By 2020, the Central Statistics Office predicts the Dublin Region will reach a population of 2.1 million by 2020, with Dublin City will have a population of 610,000.This project aims at solving the current public transportation problems and providing a better solution for future.

Dublin Bike R data package

Flask Application - displays useful nearby data by calling multiple APIs

This Repository contains the Dublin Bikes Usage Analysis Tableau Visualization Project.

Dublin Bikes station finder with real time available bike numbers. Uses ML models to predict bike availability hourly up to one week in advance. Implemented with Flask framework.

This website provides availability of Dublin bikes at a given stop.

A web application that tracks and displays Dublin Bikes availability and provides prediction for future availability based on the station selected.