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https://github.com/ttiagojm/fooddetector

Detetor de mercearias com CodeProjectAI, Docker e Spring Framework
https://github.com/ttiagojm/fooddetector

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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](https://github.com/ttiagojm/GrocerEyeYOLOv5) repository)

# Architecture
![architecture](imgs/arch.png)

# Screens
| | |
|-----------------------|-----------------------|
| ![detect](imgs/detecao.png) | ![detect](imgs/detecao.png) |
| ![management](imgs/management.png) | ![result](imgs/result.png) |
| ![tasks](imgs/tasks.png)| |

# Credits
This project was developed by [Gonçalo Rosa](https://github.com/GoncalojmRosa) and [Tiago Martins](https://github.com/ttiagojm) for a Distributed applications course in our Computer Engineering Degree