https://github.com/smoke-trees/atlas-predictors
Total Surveillance for Infiltrators, a defense security solutions suite, sort documents on the fly for malcontent, configure drones for maximum area coverage, send communications via commo hubs, protected by swarm and blockchain. TLDR : Automated Solutions for Counter Insurgency. This repo contains the AI/ML models.
https://github.com/smoke-trees/atlas-predictors
imageai-python-library natural-language-processing object-detection resnet-50 toxic-comment-classification yolov3-tiny
Last synced: 12 days ago
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Total Surveillance for Infiltrators, a defense security solutions suite, sort documents on the fly for malcontent, configure drones for maximum area coverage, send communications via commo hubs, protected by swarm and blockchain. TLDR : Automated Solutions for Counter Insurgency. This repo contains the AI/ML models.
- Host: GitHub
- URL: https://github.com/smoke-trees/atlas-predictors
- Owner: smoke-trees
- Created: 2019-03-22T20:51:18.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2020-10-01T08:21:09.000Z (about 5 years ago)
- Last Synced: 2025-08-01T21:48:51.152Z (3 months ago)
- Topics: imageai-python-library, natural-language-processing, object-detection, resnet-50, toxic-comment-classification, yolov3-tiny
- Language: Python
- Homepage:
- Size: 14.1 MB
- Stars: 6
- Watchers: 0
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
#
ATLAS
Our First Line of Defence# The Process
We have developed a model of appraoch that involved a complete and integrated system that creates a initial line of defence to respond accordingly.
## 1. Detection of Intrusion

## 2. Intent Analysis

## 3. Logistic Response
