Herb Classifier is a Spring Boot application that classifies images of coriander and parsley herbs using a deep learning model built with DeepLearning4j.
- The frontend application is built with NextJs and TailwindCSS. Check the website
- The frontend application repository is here
- Getting Started
- Prerequisites
- Installing
- Deployment
- Built With
- Owner and Contributors
- License
- Support
- Key Features
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
- Java 17
- Maven
- Docker
- Clone the repository
- Navigate to the project directory
- Run
mvn clean install - Build docker image `docker build -t myusername/herb-classifier-api:version -f Dockerfile .
This application is deployed using Docker. The CI/CD pipeline is configured in .github/workflows/main.yml.
- Spring Boot - The web framework used
- Maven - Dependency Management
- DeepLearning4j - Used for image classification
- Docker - Used for deployment
- Github Actions - Used for CI/CD
- NextJs - Used for the frontend application
- TailwindCSS - Used for styling the frontend application
Owner: Adnane Miliari - Backend Engineer - miliariadnaneContributors:- Ayoub Bouazza - Frontend Engineer 🎨 - bouazzaayyoub
- Mohammed Daoudi - DevOps Engineer 🐬 - Iduoad
This project is licensed under the MIT License - see the LICENSE.md file for details
If you find this project useful or interesting, please consider giving it a star ⭐ on GitHub. Your support is greatly appreciated! Also, if you have a moment, don't forget to make a duaa 🤲 for us. Thank you for your support!
- Deep learning model built with DeepLearning4j 🧠
- REST API 🌐
- Upload an image 🖼️
- Classify the image 🔍
- Display the classification result 📊
- Dockerized application 🐳
- CI/CD pipeline - Github Actions 🤖
- NextJs frontend application
- Home page 🏠
- Upload page 📤
- About page ℹ️
- Mobile responsive 📱