Assignment dumps in a limited span are quite taxing on students
The less transparency between subjects and untracked progress are the main reasons for this issue, leading to workflow conflicts and a hit on efficiency.

Asgn. aims to solve both of these problems in the following ways:

• Increasing cross-subject transparency by introducing a global calendar for teachers with ML generated deadline suggestions based on students data sets and other subject workloads.
• Tracking and improving student progess by model-generated assessments that are purely for improving core knowledge of the subject.

In addition to this:
Asgn. consists of both a student and teacher side

The teacher side

• Teachers may create and upload marked assignments
• Teachers may have a look at the global calendar
• A home feed to see latest posted assessments along with ML generated ones.

The student side

• A student home feed to see latest posted assessments with a due date and estimated completion time
• Deadline notifications
• Distinct colour coded subject calendar