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  • Faculty of Engineering, Rijeka, Croatia
  • Rijeka, Croatia
  • 07:04 (UTC +02:00)
  • LinkedIn in/nicole-ivankovic

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Achievement: Pull SharkAchievement: Quickdraw

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Achievement: Pull SharkAchievement: Quickdraw

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viserionnina/README.md

Hi there!

I'm Nicole — Nina online — an undergraduate Computer Science student at the University of Rijeka - Faculty of Engineering from Croatia, who enjoys building practical projects, learning new technologies, and improving my programming skills through both real-world and academic work.

I'm especially interested in machine learning, cybersecurity, and database security, and I enjoy exploring how these areas connect in real-world applications.

Outside of tech, I'm interested in 3D design and creative digital work.

🔭 I’m currently working on a project using @Google’s BERT to distinguish SQL injection attempts from non-SQL queries. At the same time, I’m exploring Random Forest and Isolation Forest on a vulnerable demo web application to detect potential SQL injection attacks.

Here are some technologies I have been working with:

C C++ Python Java React HTML CSS JavaScript TypeScript MySQL Node.js MongoDB Git GitHub

Let's connect!

LinkedIn

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  1. bert-sqli-detection bert-sqli-detection Public

    BERT-based model for detecting SQL injection attacks in user input.

    Jupyter Notebook

  2. M1STY14/Zvrk M1STY14/Zvrk Public

    PHP 2

  3. Chrome-Extension-Ad-blocker-YT Chrome-Extension-Ad-blocker-YT Public

    This project is a simple YouTube ad blocker Chrome extension using Manifest V3 in Javascript.

    JavaScript

  4. pharmapulse_app_for_detection_of_anomalies_attacks_in_databases_using_ml pharmapulse_app_for_detection_of_anomalies_attacks_in_databases_using_ml Public

    Final thesis project, aim of the work is to implement a system for detecting anomalies and potential attacks in databases using machine learning methods.

    Python