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Detetor de mercearias com CodeProjectAI, Docker e Spring Framework

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FoodDetector

Groceries Detector with CodeProjectAI, Docker and Spring Framework


Technologies

Several technologies were used:

  • Java is the programming language used
  • HTML/CSS to develop the application's frontend
  • Spring Framework to create the web application
  • Eureka Server to find the various microservices
  • API Gateway to create load balancers between microservices
  • Thymeleaf to connect the backend and frontend
  • Data JPA to connect to the database
  • SpringSecurity to manage permissions and authenticate users
  • MySQL as the database
  • CodeProjectAI server with the YOLOv5 model and previously trained weights (the training is in this repository)

Architecture

architecture

Screens

detect detect
management result
tasks

Credits

This project was developed by Gonçalo Rosa and Tiago Martins for a Distributed applications course in our Computer Engineering Degree

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Detetor de mercearias com CodeProjectAI, Docker e Spring Framework

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