Bookstore Management

This project provides a backend system to manage books, categories, users, and user reviews. It supports user registration and login, role-based access control (Guest, Registered User, Admin), integration with Google OAuth for external login, and an AI feature to analyze the sentiment of user reviews.

Features

CRUD Operations

• CRUD operations for:
  • Books
  • Categories
  • Users
  • Reviews
• Input validation and error handling

Basic Login & Registration

• Users can register and log in with email and password.
• Passwords are securely hashed.

JWT Authentication

• JSON Web Token (JWT) is used for secure session management.
• Role-based access control:
  • Guest
  • Registered User
  • Admin

3rd-Party Integrations

• Google OAuth: Users can log in using their Google accounts.
• To run the Front End (Install NodeJS before run):

# Install HTTP Server (install once)
npm i -g http-server

# Run this when you want to run the Front End
http-server -p 3000

Note: Run the script in the front-end folder

AI Integration

• NLP Sentiment Analysis: Basic sentiment analysis using Python TextBlob library to automatically classify user reviews as positive or negative, providing reasoning based on text polarity and subjectivity.
• To run the Python API:

py -m uvicorn sentiment_analysis:app --reload

Note: Run the script in the AI-feature folder

Technologies Used

• Java 17+
• Spring Boot
• Spring Security
• JWT
• OAuth 2.0 (Google)
• JPA
• Maven
• Python TextBlob library and FastAPI