Inspiration
To better know about the different classes of the Malware
What it does
Classifies the different types of Malware
How we built it
By training the models based on the datasets which includes characteristics of malwares
Challenges we ran into
As it is simple one , Not many we ran into.
Accomplishments that we're proud of
Nothing big.
What we learned
Better training of the models and implementation.
What's next for AI based Classification of Malware
Want to bring that into the high level implementation of the project for the better use case in real world .
Built With
- css
- csv-files
- flask
- github
- html
- javascript
- local-apis
- python
- scikit-learn
- vscode
- xgboost
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