MoShow/dynamo at main

1 contributor

Imagine the layout that not bougous but clear and well articulated to show the symbolic power of DeepTrack. Imagine you had all metrics automatically generated from deep insight. Then the map will fall below the cards and the res output be organized in a 3x4 grid containers. Build this on the existing build and finally, ensue the deepseek converstion and text dispalys frpm querry - Follow Up Deployment

1343c8b verified 3 months ago

.gitattributes

1.52 kB

initial commit 3 months ago
README.md

210 Bytes

Now as you maintain current build can you ensure the fun0ctionabilities are all working amd pluggin real data from Neon and Fire base. I need the map to be the initisl detection snd sending it autiomatically to the maon map for display - Follow Up Deployment 3 months ago
index.html

88.4 kB

Imagine the layout that not bougous but clear and well articulated to show the symbolic power of DeepTrack. Imagine you had all metrics automatically generated from deep insight. Then the map will fall below the cards and the res output be organized in a 3x4 grid containers. Build this on the existing build and finally, ensue the deepseek converstion and text dispalys frpm querry - Follow Up Deployment 3 months ago
prompts.txt

873 Bytes

Imagine the layout that not bougous but clear and well articulated to show the symbolic power of DeepTrack. Imagine you had all metrics automatically generated from deep insight. Then the map will fall below the cards and the res output be organized in a 3x4 grid containers. Build this on the existing build and finally, ensue the deepseek converstion and text dispalys frpm querry - Follow Up Deployment 3 months ago
style.css

388 Bytes

initial commit 3 months ago