# Component Diagram

The [ML Project Service](https://ed.sunbird.org/release-6.0.0/use/source-code/manage-learn/ml-project-service) is constructed upon the framework of Kafka, MongoDB, and cloud storage, ensuring a smooth amalgamation and efficient data control. Moreover, it collaborates seamlessly with vital services like [ML Core Service](https://ed.sunbird.org/release-6.0.0/use/source-code/manage-learn/ml-core-service), [ML Survey Service](https://ed.sunbird.org/release-6.0.0/use/source-code/manage-learn/ml-survey-service), [ML Report Service](https://ed.sunbird.org/release-6.0.0/use/source-code/manage-learn/ml-report-service), [learner services](https://lern.sunbird.org/learn/readme), and [Sunbird-RC](https://docs.sunbirdrc.dev/learn/readme) services. Within the Project service, five crucial modules are incorporated, each catering to distinct facets of project management. #### Template Module This module provides APIs for various project template-related operations, facilitating the creation, retrieval and updating of project templates. #### Template Tasks Module Responsible for managing project task templates, this module handles the operations related to task templates associated with projects. #### Reports Module Focused on generating and managing different project reports.\\ #### userProjects Module This module revolves around user project-related operations, encompassing functionalities for creating, modifying, and sharing user-specific projects. #### Certificate Template Devoted to managing project certificate-related aspects, this module governs the templates and functionalities associated with project certificates. These five modules form the backbone of [ML Projects Service](https://ed.sunbird.org/release-6.0.0/use/source-code/manage-learn/ml-project-service), empowering users to extend and optimize project capabilities within the broader SunbirdEd ecosystem on the App platform. #### Video on ML Project Service {% embed url="" %}