An AI-enhanced microservices architecture built with Spring Boot, Spring Cloud, and OAuth2, designed for secure resume analysis and orchestration.
- About the Project
- Architecture
- Tech Stack
- Features
- Microservices
- Getting Started
- API Endpoints
- Security
- Future Scope
- Screenshots & Diagrams
- License
NeuroCloud is a modular, secure, AI-integrated resume processing system built using modern Java and Spring technologies. It supports microservice orchestration, OAuth2 security, resume parsing, and intelligent matching for job applications.
Use Case: A user uploads their resume and a job description — NeuroCloud parses, evaluates, and rewrites the resume to match the job using AI.
An AI-enhanced microservices architecture built with Spring Boot, Spring Cloud, and OAuth2, designed for secure resume analysis and orchestration.
- About the Project
- Architecture
- Tech Stack
- Features
- Microservices
- Getting Started
- API Endpoints
- Security
- Future Scope
- Screenshots & Diagrams
- License
NeuroCloud is a modular, secure, AI-integrated resume processing system built using modern Java and Spring technologies. It supports microservice orchestration, OAuth2 security, resume parsing, and intelligent matching for job applications.
Use Case: A user uploads their resume and a job description — NeuroCloud parses, evaluates, and rewrites the resume to match the job using AI.
[Client] --> [Gateway-Service] --> [Auth-Service] --> [User-Service] |--> [Product-Service] |--> [AI-Orchestration-Service] --> [Document-Analysis-Service]
Each microservice is independently deployable, discoverable via Eureka, and secured via OAuth2.
- Java 21
- Spring Boot 3.x
- Spring Cloud (Eureka, Gateway, Config)
- OAuth2 with JWT (Spring Authorization Server)
- H2 in-memory database (for development)
- Apache Tika for resume text extraction
- Maven (multi-module monorepo)
- Postman for API testing
- Docker (optional, future scope)
- 🧠 AI-powered resume matching and optimization
- 🔐 OAuth2-secured endpoints with JWT tokens
- 🔍 Service discovery and load balancing via Eureka
- ⚙️ Centralized config using Spring Cloud Config Server
- 📄 Resume parsing using Apache Tika
- ✅ Role-based access control (in progress)
- 🧪 Modular and testable via Postman
- 🚀 Ready for future Docker/Kubernetes deployment
| Service | Port | Description |
|---|---|---|
| gateway-service | 8080 | API gateway for routing |
| auth-service | 8081 | OAuth2 Authorization Server |
| user-service | 8082 | User data management |
| product-service | 8083 | Demo product service |
| ai-orchestration-service | 8084 | Resume orchestration engine |
| document-analysis-service | 8085 | Resume parsing via Tika |
| config-server | 8071 | Centralized configuration |
| eureka-server | 8761 | Service registry & discovery |
- Java 21
- Maven
- Git
- Postman/Bruno
| Method | Endpoint | Description |
|---|---|---|
| POST | /auth/token |
Obtain JWT token (client credentials) |
| GET | /user-service/api/users |
Fetch all users |
| POST | /ai-orchestration-service/api/analyze-resume |
Analyze resume |
| POST | /document-analysis-service/api/extract-text |
Extract text from resume |
🔐 Security NeuroCloud uses:
✅ OAuth2 Authorization Server for issuing JWTs
✅ Client Credentials and Password Grant types
✅ Role-based access (in progress)
✅ Gateway filter to validate all tokens centrally
✅ Encrypted inter-service calls via Bearer tokens
🔮 Future Scope:
🧾 Add persistent databases (PostgreSQL or MongoDB)
🧠 Embed LLMs (like GPT) for better resume enhancement
📦 Dockerize all services with Docker Compose
🕸 Deploy on Kubernetes with monitoring tools
📊 Add Kafka or RabbitMQ for async resume analysis pipeline
🪪 License This project is licensed under the MIT License.
Crafted with ❤️ by Sreenidhi as part of an advanced Spring Boot microservices journey.
Demo:
