Bike Stands Monitoring System

This project offers a real-time monitoring solution for bike stands, featuring a Vue.js frontend and a Python Flask backend. Designed for ease of use and efficient data handling, this system provides valuable insights into bike stand availability and usage patterns.

Getting Started

Follow these instructions to set up the project on your local machine for development and testing purposes.

Prerequisites

Ensure you have Docker, Docker Compose, and Git installed on your system.

Installation

Clone the Repository

git clone https://github.com/lanaben/MBajk-prediction-app.git

Build and Run with Docker Compose

This command builds Docker images for the frontend and backend and starts the containers:

docker-compose up --build

Access the frontend at http://localhost:8080 and the backend API at http://localhost:5000.

Backend API Endpoints

Fetch stations: GET /mbajk/stations

Get last values of data for specific station: GET /mbajk/<station_name>/

Predict availability: POST /mbajk/predict/<station_name>