Week #5 #

Feedback #

Sessions #

Conduct at least three sessions with potential users, describe detailed user reviews here (potential users should NOT be your team members).

Analyze #

Describe the important points that you received from the user feedback, what issues and with which priority you created.

Implemented features based on feedback #

…

Performance & Stability #

How would you measure the performance of your application? Calculate the metrics that are suitable for your project and find out if they can be improved in any way, if necessary.

Documentation #

Describe what types of documentation you have in your project, and why exactly are they?

If applicable: Describe the process of improving the quality of your ML model, how you managed to achieve this and how you plan to improve it further.

Weekly commitments #

Individual contribution of each participant #

…

Plan for Next Week #

…

Confirmation of the code’s operability #

We confirm that the code in the main branch:

In working condition.
Run via docker-compose (or another alternative described in the README.md).