Skip to content

Commit 159609f

Browse files
authored
Update README.md
1 parent e61b292 commit 159609f

File tree

1 file changed

+7
-7
lines changed

1 file changed

+7
-7
lines changed

README.md

Lines changed: 7 additions & 7 deletions
Original file line numberDiff line numberDiff line change
@@ -14,21 +14,21 @@ One of the key features of Optic is the use of pins to denote specific missions
1414
![image](https://user-images.githubusercontent.com/70265851/213753548-70057ec0-a257-410c-bb4c-5169812a6b0d.png)
1515

1616

17-
<br>
17+
1818
![image](https://user-images.githubusercontent.com/70265851/213754664-4986550a-f6dd-4a9e-9b7a-46149ea0b571.png)
19-
<br> <br> <br> <br>
20-
Creating a new mission pin : <br> <br> <br> <br>
19+
20+
Creating a new mission pin : <br> <br>
2121
![image](https://user-images.githubusercontent.com/70265851/213221783-e4d6ee06-152d-49b3-86bd-6a4a232bf7c1.png)
22-
<br> <br>
22+
2323
Marking critical regions in the map using polygon overlays: <br> <br> <br>
2424
![image](https://user-images.githubusercontent.com/70265851/213222227-d7652c25-8203-4370-b0f0-9cd6d8c179d9.png)
25-
<br> <br> <br>
25+
2626

2727

2828
In addition to the mission management and communication features, Optic is also integrated with Nests, which are synchronised communication rooms powered by sockets. This is an actual integration with SyncNest, which is other my code collaboration project tool built with Express and Socket.io. This integration allows for real-time collaboration and communication among team members, and is inspired by the operational level global all-domain awareness tool, Gaia. <br> <br> <br>
2929
![image](https://user-images.githubusercontent.com/70265851/213221158-1dc4973a-90fb-432c-bdeb-9c6de9566263.png)
30-
<br> <br> <br>
30+
3131
![image](https://user-images.githubusercontent.com/70265851/213220918-7b05a640-6bbc-452e-aa57-050bbcb00b98.png)
32-
<br> <br> <br>
32+
3333
Optic also includes a threat analysis model that is inspired by Palantir Dossier. This model is trained on the Comment Toxicity dataset and runs on a Flask server built on top of a Keras model. It allows users to identify and prioritize potential threats in real-time, making the project suitable for a wide range of mission-critical scenarios. This integration showcases my experience in the domain of NLP and in the vicinity of machine learning tools and technologies, inspired by the threat analysis capabilities provided by Gaia and Cosmos. <br> <br> <br>
3434
![image](https://user-images.githubusercontent.com/70265851/213220483-beaffc88-93d1-4d00-b226-3f46de1a5bc7.png)

0 commit comments

Comments
 (0)