IoT-Based Smart Kitchen Inventory and Auto Shopping Assistant

Abstract: With the rapid growth in technology around, life is getting easier and easier. The world is shifting towards smartness and automation with the help of sensor technology, which is playing a huge role. Kitchen is an important space where the ingredients and the grocery items are still managed manually, which may lead to wastage of food, unnecessary purchases of items, making poor expense management. This paper proposes an IoT-Based Smart Kitchen Inventory and Auto Shopping Assistant which helps with the monitoring and management of the kitchen inventory with help of real- time data processing. This system helps from tracking the inventory to restocking the inventory to keeping a track on the expenses. The system uses Esp32 microcontroller, load cell sensors with HX711 module which helps in tracking the inventory system. The data is transmitted over Wi-fi to server backend. The system detects the items on low stock and generates a shopping list along with sending notification. Addition to this, an OCR (Optical Character Recognition)- based receipt scanning feature is added to extract the product and price information from the bill for automatic expense tracking and updating the inventory status. A web application is built to provide real-time status, shopping list and track of expense to the user.

Keywords: Esp32, HX711, Load cell Sensor, OCR, Inventory Monitoring, Internet of Things (IoT), Smart Kitchen, Real- time Monitoring, Optical Character Recognition, Expense tracking.