IOT based Food Quality Detection system using REST API in Django

IOT based Food Quality Detection system using REST API in Django

Prof. Aparna Bhonde1, Prajna Puthran1, Akshata Pawar1, Shruti Pandey1, Tanushree Singh1

1Datta Meghe College of Engineering

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Abstract - Food quality detection is an important task in the food industry to ensure that the food being produced is safe for consumption. With a myriad of food variants with increasing globalization and an increasing number of food chains, food quality is sometimes hindered in various aspects to attain a healthy diet. In some cases, this contamination leads to various diseases which can be disastrous.

The quality of food must be assured at all times. So to avoid the problems associated with food without human interpretation we need such a device that helps to determine the quality of food. In this paper, we propose a system that uses IoT sensors to detect the quality of food and REST API in Django to analyse the data collected by these sensors.

The system provides an automated way of monitoring food quality and alerts the stakeholders if the quality falls below the desired level. This study illustrates the application of several sensors in the food sector. The sensors, which include pH sensors, gas sensors, and temperature sensors, aid in determining the state of food by comparing the readings returned by the device to the parameters established on the earlier one. Restaurants, homes, and small-scale businesses can all benefit from this system.

Key Words:  food quality, food wastage, REST API, sensors, quality detection