Microservice Based Backend-Only Personalized Health and Wellness Recommendation System

Overview

This project is an innovative backend-only Personalized Health and Wellness Recommendation System developed using Java and various technologies. It leverages a microservices architecture, Spring Boot, Java Persistence API (JPA), and more to provide users with tailored health and wellness recommendations, progress tracking, community engagement, nutrition management etc.

Problem description

Key Features

• Microservices Architecture:
  • Ensures modularity and scalability through microservices.
• Spring Boot:
  • Serves as the foundational framework for backend services.
• JPA (Java Persistence API):
  • Facilitates data persistence and interaction with a relational database.
  • Manages entities for user profiles, health data, recommendations, feedback, and community interactions.
• API Gateway:
  • Centralizes request routing, security, and authentication.
• Discovery Server:
  • Manages service registration and discovery for dynamic scaling and load balancing.
• Authentication Service:
  • Handles user registration, login, and session management.
  • Ensures secure user authentication and access token generation.

Key Functionalities and API Endpoints

User Profile and Health Data Management

• User registration, login, and profile management.
• Management of personal health data.

Health and Wellness Recommendations

• Personalized diet, exercise, mental health, and sleep recommendations.

User Feedback and Progress Tracking

• Submission of feedback on recommendations.
• Tracking health and wellness progress.
• Viewing insights based on progress data.

Notification Service

• Configuration of notification preferences.
• Sending personalized recommendations via notifications.

Community and Social Integration

• Creation or joining of wellness groups.
• Sharing achievements and wellness updates.
• Interactions like liking, commenting, and following other users' posts.

Nutrition Information Service

• Searching for foods and recipes.
• Retrieving nutritional facts for specific foods.
• Receiving dietary recommendations.

Mental Health and Stress Management

• Accessing mental health exercises.
• Logging and tracking mood data.
• Receiving mental health recommendations.

Feedback Analysis Dashboard

• Viewing user feedback and satisfaction.
• Monitoring user progress and trends.
• Making data-driven decisions to improve recommendations.

API Documentation

For detailed API documentation, please refer to our API Documentation.

Contributors

Special thanks to the following contributors who have helped make this project possible:

• Abu Taeb Nuri (@Nuri6336)
• Omar Faruk Pial (@omarFarukPialBJIT)
• Shadril Hassan Shifat (@shadril-bjit) (@shadril238)
• Sirajam Munira (@munira-bjit)