Developer and raspberry pie Enthusiast Kutluhan Aktar once again participated in another impressive Raspberry Pi project. Aktar has created a Pi-driven food scanning system that uses artificial intelligence to create a comprehensive nutritional assessment at a glance.We recently reported his Darth Vader Cryptocurrency Tracker It uses a Raspberry Pi Pico microcontroller to help monitor encryption prices in real time.
This The best Raspberry Pi project To make our lives easier, this product is designed to control your nutrition by analyzing anything scanned using TensorFlow machine learning.Using a custom model programmed by Aktar, it generates the output of the food “health score” with the help of the open source nutrition database named Public food facts.
According to Aktar, the project will be suitable for Raspberry Pi 4 or Raspberry Pi 3 B+. It also uses a 7-inch touch screen and GM65 QR barcode scanner to scan food in real time.
Aktar uses PHP to develop a custom web application to interpret barcode data and return nutritional information for a given product. A python script is used to read this data and convert it into a visual representation of the nutrient score.
If you want to know more about this Nutrition Pi project, please visit the project page hacker More details and complete breakdowns on how the TensorFlow system works.