Artificial Intillegence

Today I spent a total of 8 hours working on the project onboarding and environment setup. The work was divided into two phases: Knowledge Transfer (KT) and Project Installation & Setup.

Knowledge Transfer (4 Hours)

During the first 4 hours, a Knowledge Transfer session was conducted to understand the overall project structure and functionality. In this session, I was introduced to the project objectives, core features, and workflow of the application. The discussion included how the system operates from both the frontend and backend perspectives, as well as how the application communicates with the database.

The KT session also covered the technology stack used in the project, including the frontend framework, backend technologies, API structure, and database configuration. Additionally, the project folder structure was explained to understand how the codebase is organized, including components, routes, controllers, and configuration files.

This session helped me gain a clear understanding of how the project is built, how different modules interact, and how development and debugging are handled within the project.

Project Installation and Setup (4 Hours)

After completing the KT session, the next 4 hours were spent installing and configuring the project locally. The repository was first cloned from the version control system, and the project directories were reviewed.

All required dependencies for both frontend and backend were installed using npm. After installing the packages, the necessary environment configurations were set up, including environment variables required for the server and database connections.

Once the configuration was completed, both the backend server and frontend application were started locally. The application was tested to ensure that the services were running correctly and that the frontend was successfully communicating with the backend APIs.

This process ensured that the development environment was properly configured and the project was successfully running on the local machine.