Generating Database Independent API Using AI

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Generating Database Independent API Using AI

Prof.Atul Akotkar1, Manya Dubey2, Prajakta Udgirkar3

1 2 3Computer Science and engineering & Nagarjuna Institute of engineering technology and management

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Abstract - In the rapidly changing software development environment of today, developing backend APIs that are not tied to particular database technologies is essential for ensuring flexibility, scalability, and compatibility across different platforms. This initiative suggests an AI-based approach to automatically create database-agnostic APIs, simplifying backend development and minimizing manual coding tasks. Utilizing machine learning and natural language processing methods, the system understands comprehensive user needs or schema specifications and produces fully operational RESTful APIs that facilitate CRUD operations, input validation, and error management. The created APIs work with various database systems (e.g., MySQL, PostgreSQL, MongoDB) by employing abstraction layers and ORM frameworks. This method enables developers to concentrate on business logic while speeding up development cycles, improving maintainability, and guaranteeing adaptability in various database settings. This solution is perfect for quick prototyping, corporate applications, and integration situations where backend adaptability is crucial.
KeyWords:Artificial Intelligence (AI), RESTful APIs, Database Independence, Java Spring Boot, ORM (Object Relational Mapping), JPA (Java Persistence API)

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