Classification of Malware using AI

• 

  interface of my project

Inspiration

it came from research in the rise of sophisticated malware like day to day ,to help to understand it better.

What it does

The system classifies malware by analysing runtime data like CPU and memory usage and some other stuff . It uses multiple AI models to predict malware type and outputs the final prediction using majority voting.

How we built it

I built the project using Python, Flask for the backend, and a simple frontend with HTML/CSS/JavaScript.

Challenges we ran into

cleaning and preprocessing the dataset for better accuracy took lot of time and effort , integrating and real time predictions

Accomplishments that we're proud of

usecase

What we learned

understanding of malware classification and feature engineering , skill improvement of backend and integrating the AI

What's next for Classification of Malware using AI

I will try to enhance the models with deep learning techniques. We aim to scale the project by integrating cloud services for faster and real-time predictions.

Built With

• css
• csv
• flask
• html
• javascript
• local-apis
• python
• scikit-learn
• vscode