malware-detection-xgboost
IKetutWidiyane
This project is a Malware Detection System that leverages Machine Learning (XGBoost) to classify files as malicious or benign based on extracted features. The system integrates a Python-based backend for model inference with a modern web frontend built using Next.js to provide an interactive and user-friendly interface.
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1 data points · 2026-09-13 → 2026-09-13How do you feel about this project?
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Question copied to clipboardWhat is the IKetutWidiyane/malware-detection-xgboost GitHub project? Description: "This project is a Malware Detection System that leverages Machine Learning (XGBoost) to classify files as malicious or benign based on extracted features. The system integrates a Python-based backend for model inference with a modern web frontend built using Next.js to provide an interactive and user-friendly interface.". Written in TypeScript. Explain what it does, its main use cases, key features, and who would benefit from using it.
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