Key Commits
https://github.com/Harkirat47/FrontEndCPTSCSS/commit/b60a54da69f641434c98c0704eb276216eb0bf70
https://github.com/Harkirat47/FrontEndCPTSCSS/commit/95ccf9fad1c427e4c67624c9f9252fd51d2cdfd8
https://github.com/Harkirat47/FrontEndCPTSCSS/commit/a048e71eeae106e4dcf75d7530e974ed4f25a7f6
Merges from other branches for testing
https://github.com/Harkirat47/FrontEndCPTSCSS/commit/ac28bb088ef5fb52c7fc1c346039cbfb7e2fd63e
this week, I focused mainly on planning. I contributed to help Ian Write the blog by creating the planning board and also by adding disigns as to where the machine learning goes. I also did some debuging.
Step 1
Make plans, With the help of adding more and more baxes to the jamboard on My frontend, We have abonafide plan with issues and abilities to review
https://github.com/users/Harkirat47/projects/1/views/1
Step 2
find the dataset for the machine learning
https://www.kaggle.com/code/nethanael/mla2-phidalgo-proyecto-final-pt1
https://www.kaggle.com/code/zyuniversal/starter-google-landmarks-dataset-1c58081d-4
https://www.kaggle.com/datasets/google/google-landmarks-dataset/data