Some instructions in the final project are confusing and the python3 tests.py command shows errors with tls version

Overall great course for python learning! There were some bugs when submitting my final project though.

Really good course that walks you through your first steps in Flask, Python and the Watson API

Some things not especially clear, such as the packages breaking as soon as tests.py was moved!

Great course except for the labs which required other software not directly communicated.

The course was challenging for a real beginning like me - but good for learning

Errors on the course must be rectified and also update github code push

Its a little bit complicated but I have learn a lot from this course.

Soeme instruction were unclear, could have been defined succinctly

IBM Cloud Foundry is deprecated so I can't push my app on there.

Excellent class. The learning labs are very helpful. Thank you!

Course content is useful. Lab Environment was not quite good.

Good course but the programming labs are very slow.

Final project could be better, too massive

good course and good assignment test

Excellent!! material covered

Great learning experience

Great Course

good course

nice

Good

GOOD

nice

This project showcases the successful development of an AI-powered emotion detection web application using Python, Flask, and IBM Watson NLP. The submission includes all required components—from cloning the repository and building the core emotion detection logic to deploying the application via Flask, handling errors gracefully, and running static code analysis. Each step is well-documented with clear screenshots as evidence. The application appears to function correctly and demonstrates good programming practices, including modularization, unit testing, and clean UI deployment.