The [ML Survey Service](https://ed.sunbird.org/use/source-code/manage-learn/ml-survey-service) is constructed using 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 Core Service](https://ed.sunbird.org/use/source-code/manage-learn/ml-core-service), and [Learner Services](https://lern.sunbird.org/learn/readme). This Microservice comprises ten pivotal Modules, each playing a crucial role.
#### Reports
In charge of acquiring data for reports.
#### Survey
Tasked with creating surveys using solutions and templates.
#### Survey Submission
Handles the submission of surveys and sends data to Kafka for analytical purposes.
#### Assessment
Responsible for validating assessments of criteria and questions in observations and surveys.
#### Solutions
Offers available solutions within the Manage Learn system.
#### Observations
Generates observations from solutions for users engaged in observations.
#### Observation Submissions
Manages the submission of observations and forwards data to Kafka for analytical purposes.
#### Scoring
This module will be used by observations that involve rubric-based scoring.
#### User Extensions
Storing user details and program-related information for program designers and managers.
#### Programs
Supplies a list of available programs within Manage Learn.
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These ten modules synergize as the backbone of the [ML Survey Service](https://ed.sunbird.org/use/source-code/manage-learn/ml-survey-service), empowering users to enhance and optimize Observation and Survey capabilities within the broader SunbirdEd ecosystem on the App platform.
#### Video on ML Survey Service
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