We researched and developed a feasible end-user solution for static malware analysis and detection from Portable Executable (PE) headers data using multiple machine learning algorithms. We also compared & contrasted our approach with pre-existing literatures and end-user solutions.
The project includes data preprocessing, feature extraction, feature selection, model training and model evaluation & visualization as well as paper writing.
Technology Stack: Python, Jupyter Notebook, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, VirusTotal API, Google Cloud.
The repository is currently private will be made public soon. However, I am open to sharing it now upon request.
Dormitory is a web-based platform designed to connect passionate students, educators, enthusiasts and geeks, fostering the advancement of a collective knowledge-base.
Technology Stack: Python, Django, Django REST API, Django-Channels, React, Shadcn, Tailwind, SQLite, Redis, Websocket and Daphne async server. View Repository
Python-backed web application to solve non-homogeneous ordinary differential equations (ODEs) utilizing Python libraries like Pandas & NumPy.
Technology Stack: Python, Django, Pandas, NumPy, HTML & CSS. Other Contributors: Kefaet Ullah.
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Personal portfolio website showcasing my projects, skills and write-ups.
Technology Stack: Hugo, Github Pages, Twitter API. View Repository
This webapp provides the basic functionalitites like session-based user authentication, profile view, book management features like checking in and out, viewing, returning and wish-listing books.
Technology Stack: Python, Django, SQLite, HTML & CSS. View Repository