AI-Inventory-Management

AI-based Inventory Management System built using .NET, Angular, and AI technologies to manage and track inventory items efficiently.

Table of Contents

• Project Overview
• Features
• Technologies Used
• Getting Started
  • Prerequisites

Project Overview

AI-Inventory-Management is a web application designed to streamline inventory tracking and management. It uses AI to help make predictions and optimize inventory levels. The project utilizes Angular for the frontend, .NET for the backend, and integrates AI techniques for data analysis and automation.

Features

• Add, update, and delete inventory items.
• View the list of inventory items.
• Integration with an AI system for inventory optimization.
• Responsive design with Angular.
• Real-time updates using HTTP requests and server-side rendering.

Technologies Used

• Frontend: Angular, TypeScript, HTML, CSS
• Backend: .NET (ASP.NET Core), Entity Framework
• Database: SQL Server
• AI: TensorFlow, Python
• Version Control: Git, GitHub

Getting Started

Prerequisites

To get started with this project, you'll need:

• .NET SDK (for backend)
• Node.js (for frontend)
• SQL Server (for database)
• Git (for version control)