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https://github.com/akhilesh664/microservices

📦 A collection of real-world Java + Spring Boot Microservices projects 🌐 built using modern architectures like REST APIs, Service Discovery, API Gateway, Database Integration, and more! Perfect for learning, practicing, and showcasing your backend skills. 💡
https://github.com/akhilesh664/microservices

api-gateway jwt-auth microservices mysql netflix-eureka rest-api spring-boot

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📦 A collection of real-world Java + Spring Boot Microservices projects 🌐 built using modern architectures like REST APIs, Service Discovery, API Gateway, Database Integration, and more! Perfect for learning, practicing, and showcasing your backend skills. 💡

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README 

          
# Microservices Portfolio 🚀



Welcome to my Microservices Portfolio! This repository showcases a collection of Spring Boot-based microservices projects designed for various functionalities, including AI-powered text summarization, hotel management, sentiment-based review systems, and more. Each project is built with modern Java technologies and follows a microservices architecture for scalability and modularity. Below, you'll find detailed descriptions of the prioritized projects (Text Summarizer, Hotel Management, and Review System) followed by other notable microservices.



---



## Table of Contents

- [Text Summarizer Microservice 📝](#text-summarizer-microservice)

- [Hotel Management Microservices 🏨](#hotel-management-microservices)

- [Sentiment-Based Product Review System 🌟](#sentiment-based-product-review-system)

- [Other Microservices](#other-microservices)

  - [Auth Service App](#auth-service-app)

  - [Feedback Service](#feedback-service)

  - [Product Catalog](#product-catalog)

- [Contributing 🤝](#contributing)

- [License 📜](#license)



---



## Text Summarizer Microservice 📝



This Spring Boot-based microservice leverages **ONNX models** for text summarization, providing a REST API and a Thymeleaf-based web interface to summarize input text using an encoder-decoder architecture. The application uses the **ONNX Runtime** for model inference, with placeholder preprocessing and postprocessing pipelines for tokenization.



### Key Features

- Summarize text via REST API (`/api/summarize`) or web UI.

- Uses `encoder_model.onnx` and `decoder_model.onnx` for AI-driven summarization.

- Built with **Spring Boot**, **Thymeleaf**, and **ONNX Runtime**.



### Setup Instructions

1. **Clone the Repository**:

   ```bash

   git clone 

   cd TextSummarizer

   ```

2. **Place ONNX Models**:

   - Download `encoder_model.onnx` and `decoder_model.onnx` from [Google Drive Folder]().

   - Place them in `src/main/resources/model/`.

3. **Install Dependencies**:

   - Ensure `pom.xml` includes:

     ```xml

     

         

             org.springframework.boot

             spring-boot-starter-web

             3.4.5

         

         

             org.springframework.boot

             spring-boot-starter-thymeleaf

             3.4.5

         

         

             com.microsoft.onnxruntime

             onnxruntime

             1.17.0

         

         

             ai.djl.huggingface

             tokenizers

             0.32.0

         

     

     ```

4. **Run the Application**:

   ```bash

   mvn spring-boot:run

   ```

5. **Access**:

   - REST API: `http://localhost:8080/api/summarize`

   - Web UI: `http://localhost:8080/`



## Model Download



The ONNX model is too large to be included in the repo.



➡️ [Download model.onnx from Google Drive]: [https://drive.google.com/drive/folders/1USD0UmWzLojfP1NG0jOpYGXGFxa1dgWa?usp=sharing]



### Notes

- Replace placeholder tokenization with **Hugging Face’s tokenizer** for production use.

- Use **Netron** (https://netron.app/) to inspect model inputs/outputs.



---



## Hotel Management Microservices 🏨



This project is a robust microservices-based system for managing hotel operations, including room bookings, hotel details, and user ratings. It uses **Spring Cloud** for service discovery and configuration, with **OAuth 2.0** for secure authentication.



### Key Features

- **User Service**: User registration, authentication, room bookings, and wallet transactions.

- **Hotel Service**: Add hotels/rooms, retrieve details, and list available/booked rooms.

- **Booking Service**: Manage room bookings and retrieve booking details.

- **Rating Service**: Add and retrieve hotel ratings/reviews.

- **Service Registry & API Gateway**: Centralized service discovery and routing.



### Tech Stack

- **Java**, **Spring Boot**, **Spring Cloud** (Eureka, Config, Gateway)

- **Spring Security**, **OAuth 2.0**, **Spring Data JPA**, **Spring Data MongoDB**

- **MySQL**, **MongoDB**, **Thymeleaf**, **Okta**



### Setup Instructions

1. **Clone the Repository**:

   ```bash

   git clone 

   cd Hotel-Management-Microservices

   ```

2. **Configure Services**:

   - Update properties in `application.properties` for each microservice.

3. **Run Services**:

   ```bash

   mvn spring-boot:run

   ```

4. **Check Service Status**:

   - Eureka Dashboard: `http://localhost:8761`

   - API Gateway: `http://localhost:8086`



### API Endpoints

- **User Service**: `http://localhost:8086/users/register`, `http://localhost:8086/users/addBooking`

- **Hotel Service**: `http://localhost:8086/hotels/all`, `http://localhost:8086/hotels/{hotelId}`

- **Rating Service**: `http://localhost:8086/ratings/add`, `http://localhost:8086/ratings/hotel/{hotelId}`



---



## Sentiment-Based Product Review System 🌟



This beginner-friendly microservices application allows users to submit product reviews and analyze their sentiment using a **lexicon-based AI approach**. It’s completely free, requiring no external APIs or cloud services.



### Key Features

- **Review Service**: CRUD operations for reviews, stored in **MySQL**.

- **Sentiment Service**: Analyzes review sentiment (POSITIVE, NEUTRAL, NEGATIVE) using a local word list.

- **Frontend**: Simple HTML/CSS/JS interface for submitting and viewing reviews.



### Tech Stack

- **Java**, **Spring Boot**, **Spring Data JPA**

- **MySQL**, **HTML/CSS/JavaScript**



### Setup Instructions

1. **Clone the Repository**:

   ```bash

   git clone 

   cd review-system

   ```

2. **Set Up MySQL**:

   ```sql

   CREATE DATABASE review_system;

   USE review_system;

   CREATE TABLE reviews (

       id BIGINT AUTO_INCREMENT PRIMARY KEY,

       product_id VARCHAR(50) NOT NULL,

       review_text TEXT NOT NULL,

       sentiment VARCHAR(20) DEFAULT 'PENDING',

       created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP

   );

   ```

3. **Run Services**:

   - Review Service: `cd review-service && mvn spring-boot:run`

   - Sentiment Service: `cd sentiment-service && mvn spring-boot:run`

   - Frontend: `cd frontend && python3 -m http.server 8000`

4. **Access**:

   - Frontend: `http://localhost:8000`

   - Review API: `http://localhost:8080/api/reviews`

   - Sentiment API: `http://localhost:8081/api/sentiment/analyze/{reviewId}`



---



## Other Microservices



### Auth Service App 🔒

- **Description**: A Spring Boot microservice for user authentication and authorization using **OAuth 2.0** and **JWT**.

- **Features**: User login, token generation, and role-based access control.

- **Tech Stack**: Spring Boot, Spring Security, Okta.

- **API Endpoints**: `http://localhost:8080/auth/login`, `http://localhost:8080/auth/validate`.



---



### Feedback Service 📬

- **Description**: A microservice for collecting and managing user feedback.

- **Features**: Submit feedback, retrieve feedback by user or product, and basic analytics.

- **Tech Stack**: Spring Boot, Spring Data JPA, MySQL.

- **API Endpoints**: `http://localhost:8082/feedback/submit`, `http://localhost:8082/feedback/all`.



---



### Product Catalog 🛍️

- **Description**: A microservice to manage product listings and details.

- **Features**: Add, update, delete, and retrieve product information.

- **Tech Stack**: Spring Boot, Spring Data MongoDB, MongoDB.

- **API Endpoints**: `http://localhost:8083/products/all`, `http://localhost:8083/products/{productId}`.



---



## Contributing 🤝

Contributions are welcome! Please create an issue or submit a pull request to contribute to any of the microservices in this portfolio.



## License 📜

This project is licensed under the MIT License.



**Last Updated**: June 25, 2025