Inspiration
The level of inspiration come from the increase of malware attacks day to day and interest related to cybersecurity
What it does
It is like a simple web interface where it will take a bunch of inputs from the user of particular malware that he faced in his device and it tells the final word like what kind of malware it is actually.
How we built it
We built it with the help of basic html,css ,javascript and python - flask ,scikit learn and other python libraries .
Challenges we ran into
As it is a simple project,we actually haven't faced any big challenges apart from small technical issues related to coding.
Accomplishments that we're proud of
Usecase
What we learned
More deep dive into the cuber security and malware .More famarilize with AI and ML models.
What's next for AI based Classification of Malware
Want to enhance the model and create a big application.so that it meets real time needs.
Built With
- css
- csv
- flask
- github
- html
- javascript
- python
- scikit-learn
- vscode
- xgboost
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