AI for Inventory Management

This project involves the development of an AI-driven inventory management system designed to simplify stock tracking and restocking for small businesses. It combines traditional inventory methods for products with stable demand and a machine learning model to predict restocking needs for items with fluctuating demand. The machine learning model is pre-trained on standard datasets, ensuring accurate forecasts without requiring training from user data. Developed using Django, MySQL, and Bootstrap, the system is web-based and accessible from any device. Key features include vendor management, automated restocking alerts via email, and a billing module for managing in-store sales. Users can categorize products, track stock levels in real time, and view a dashboard that highlights low-stock items. With a user- friendly interface and intelligent automation, this system supports small business owners in making efficient, data-driven decisions.