Component Diagram
The ML Survey Service is constructed using MongoDB, Kafka, and cloud storage technologies. Additionally, it seamlessly collaborates with vital services like ML Project Service, ML Core Service, and Learner Services. 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.
These ten modules synergize as the backbone of the 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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