RESTful API Architecture for Nutrition-Based Health Platform
To power a nutrition-focused Progressive Web App, we engineered a scalable RESTful API using Java, Spring Boot, Hibernate, and MySQL. The API acts as the core logic engine, managing user data, condition-based filtering, recipe versions, and administrative workflows.
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Architecture Overview
The backend follows a layered architecture:
- Controller Layer (REST endpoints)
- Service Layer (business logic)
- Repository Layer (JPA/Hibernate)
- Entity Models with validation annotations
- DTO mapping for clean request/response handlingnd accordion-tab sync.
Core Functional Modules
User Management APIs
- Registration with validation
- Role-based access (Admin / User)
- Profile management
- Password reset & email verification
Recipe & Condition Logic
- Disease-based filtering endpoints
- Tag-based query filtering
- Pagination support
- Optimized database queries
Security & Validation
- Bean validation annotations
- Request payload validation
- Proper HTTP status handling
- Secure password storage
API Documentation
All endpoints were documented using Swagger and Swagger UI, providing:
- Interactive testing interface
- Example request bodies
- Clear parameter definitions
- Standardized API contracts
This ensured seamless integration with frontend PWA applications and simplified QA testing.
Technology Stack
- Java
- Spring Boot
- Maven
- Hibernate / JPA
- MySQL
- Swagger / Swagger UI
- RESTful architecture
Outcome
The API now serves as a scalable backend engine capable of:
- Supporting multiple frontend clients
- Handling complex condition-based filtering logic
- Managing structured healthcare data securely
- Enabling independent deployment from frontend apps
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