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For this week I implemented an ML pipeline to identify the pose of rock paper or scissors. For this, I took a dataset with images of the three poses and trained a TF lite model on it. This model was then integrated into the app. Which was really challenging for me and took some time. I did not have time to implement testing, therefore I left the pull request as a draft (PR 72)
For Sprint 6, I am responsible for the leaderboard module design (PR #77) . With the experience from the STATS module, I feel more confident and actually I can be quick to get started. Therefore, I make the user interface more elegant compared with the STATS module 😂, also I have confirmed with @Gaëtan the data fetching from Firebase for this part, which should be implemented for the next sprint.