# Component Diagram

The ML Core Service is constructed using a MongoDB, Kafka, and cloud storage technologies. Additionally, it seamlessly collaborates with vital services like [ML Project Service](https://ed.sunbird.org/use/source-code/manage-learn/ml-project-service), [ML Survey Service](https://ed.sunbird.org/use/source-code/manage-learn/ml-survey-service), and [Learner Services](https://lern.sunbird.org/learn/readme). This Microservice is composed of ten pivotal Modules, each playing a crucial role. #### User Role This module stores essential user role information. #### Cloud Service It facilitates communication between ML Core and the Cloud Service for data storage and retrieval. #### Admin Providing administrative services within the Manage Learn Building block. #### Users Serving user-centric functions, including targeted programs and resources. #### Solution Responsible for solution creation and management. #### Certificate Base Templates Creating foundational certificate templates used by certificate templates and providing certificate URLs. #### Certificate Template Mapping certificates with solutions and associated criteria. #### Program Users Managing user enrollment and consent statuses. #### Program: Creating and managing programs. #### User Extension Storing user details and program-related information for program designers and managers. These ten modules synergize as the backbone of the [ML Core Service](https://ed.sunbird.org/use/source-code/manage-learn/ml-core-service), empowering users to enhance and optimize program capabilities within the broader SunbirdEd ecosystem on the App platform. #### Video on ML core services {% embed url="" %}