Inventorious

screenshot of Inventorious
rails

Inventory Management and Tracking System built with Ruby on Rails 5

Overview

Inventorious is an inventory management and tracking system built with Ruby on Rails 5. It allows users to specify items, members (who can borrow items), and create borrow orders for members. The app sends emails to a specified address when an order is created, deleted, renewed, or marked as "returned". Only authenticated users can access the app and make changes.

Features

  • User Authentication: Only authenticated users can access the app and make changes.
  • Item Specification: Users can specify items and track their availability.
  • Member Management: Users can add, edit, and delete members who can borrow items.
  • Borrow Orders: Users can create, cancel, renew, and mark borrow orders as "returned".
  • Email Notifications: The app sends emails for various actions, such as when an order is created, deleted, renewed, or marked as "returned".

Summary

Inventorious is an inventory management and tracking system built with Ruby on Rails 5. It provides features such as user authentication, item specification, member management, borrow orders, and email notifications. The installation process involves setting up the Rails environment, downloading the repository, running database migrations and setting up environment variables. Once installed, users can access the app, specify items, manage members, and create and track borrow orders.

rails
Ruby on Rails

Ruby on Rails, often referred to as Rails, is an open-source web application framework written in Ruby. Known for its convention over configuration and don't repeat yourself (DRY) principles, Rails simplifies and accelerates the development of database-backed web applications.

dashboard
Dashboard

A dashboard style website template is a pre-designed layout that features a user interface resembling a control panel or dashboard. It typically includes charts, graphs, tables, and other data visualization tools that allow users to monitor and analyze data in real-time.