• Developed RESTful APIs using Spring Boot and MySQL for backend integration.
• Implemented CRUD operations and authentication using Spring Security.
• Tested API endpoints with Postman and managed version control using …
• Developed RESTful APIs using Spring Boot and MySQL for backend integration.
• Implemented CRUD operations and authentication using Spring Security.
• Tested API endpoints with Postman and managed version control using Git & GitHub.
A Java Backend Developer Intern plays an important role in supporting the development of server-side applications and learning industry-level software development practices. Backend development focuses on building the logic, database interactions, and APIs that power web and mobile applications. As an intern, the main objective is to gain practical experience while contributing to real-world projects under the guidance of senior developers.
The primary responsibility of a Java backend intern is to write clean and efficient code using the Java programming language. Interns often work with frameworks such as Spring Boot to develop RESTful APIs and backend services. They help implement business logic, connect applications with databases like MySQL or MongoDB, and ensure that the system performs efficiently. In many projects, interns also assist in fixing bugs, optimizing code, and writing unit tests to maintain the reliability of the application.
Another key task involves working with databases. Interns learn how to design tables, write SQL queries, and manage data storage. They may also use technologies such as Hibernate or JPA to map Java objects to database tables. Understanding how data flows between the frontend, backend, and database is a crucial skill that interns develop during this role.
Collaboration is also an essential part of the internship. Java backend interns typically work in a team environment where they communicate with frontend developers, testers, and project managers. They use tools like Git and GitHub for version control to manage code changes and collaborate effectively. Participating in code reviews and team discussions helps interns improve their coding standards and problem-solving abilities.
Developed and maintained RESTful APIs using Spring Boot and MySQL for backend integration. Created responsive frontend interfaces using React.js, HTML, CSS, and JavaScript. Integrated and tested full-stack components ensuring seamless data flow and API performance. Collaborated using Git, GitHub, and Postman for version control and API validation.
Developed and maintained RESTful APIs using Spring Boot and MySQL for backend integration.
Created responsive frontend interfaces using React.js, HTML, CSS, and JavaScript.
Integrated and tested full-stack components ensuring seamless data flow and API performance.
Collaborated using Git, GitHub, and Postman for version control and API validation.
Developed RESTful APIs using Spring Boot and MySQL for backend integration. Implemented CRUD operations and authentication using Spring Security. Tested API endpoints with Postman and managed version control using Git & GitHub.
The rapid advancement of digital technologies and the growing influence of online travel platforms have resulted in an overwhelming amount of tourism-related data. From accommodations and transportation to dining and local attractions, travelers are constantly exposed to a flood of information that can complicate the decision-making process. While this abundance provides choices, it often leads to confusion and indecision due to the difficulty of filtering out irrelevant or less useful content. To address this issue, recommender systems have become essential tools in the tourism industry, offering tailored suggestions that align with individual preferences and behaviors. This paper presents a hybrid recommender system that combines content-based filtering, collaborative filtering, and sentiment analysis to generate more accurate and user-centric travel recommendations. By analyzing both item attributes and user interactions, and incorporating feedback from user reviews, the system refines its output to better meet user expectations. This approach aims to reduce information overload and enhance the efficiency and satisfaction of trip planning. The paper also evaluates the effectiveness of various recommendation strategies and highlights the benefits and trade-offs associated with integrating hybrid models in travel applications.
The AI-first Recruitment Operating System that unifies and automates the entire hiring lifecycle for modern enterprises worldwide.
Dr Job FZ LLC. 2026 © All Rights Reserved
