Technologies Involved:
XML
Area Of Work: Machine Learning
Project Description

A digital solutions provider focused on scalable enterprise software sought a full-stack web application to streamline project workflows and API-driven services. The client sought Oodles for a robust system combining frontend and backend technologies to support modular growth and environment-specific deployments. The engagement included development of a web component application with real-time data access and cloud-ready architecture.

Scope Of Work

The project aimed to deliver an integrated frontend-backend system that could dynamically scale with business operations. The client needed clear API documentation, environment-based configuration, and real-time project tracking. Areas of work included backend development with Spring Boot, frontend in React.js, and data handling through MongoDB.

Our Solution

To support the client’s objective of building a unified and scalable software infrastructure, the solution was delivered as a component-based full-stack web application.

Key Features Implemented

  • Multi-Environment Configuration: Spring Boot profiles enabled easy switching.
  • MongoDB Integration: Provided fast, flexible document-based data storage and easy restoration via CLI.
  • Swagger API Documentation: Exposed backend endpoints for real-time testing at /swagger-ui.html.
  • Tomcat Deployment: Ensured backend access through http://localhost:8080/projects.
  • React Frontend Interface: Offered a modular and responsive user interface integrated with backend APIs.

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