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BenFricker/README.md

Hi, I'm Ben Fricker

AI & Big Data | Cyber Security | 2nd Year CS Student

πŸŽ“ Computer Science at University of Wollongong
πŸ” Passionate about AI, Machine Learning & Security
πŸš€ Building intelligent systems and secure applications


πŸ› οΈ Tech Stack

Languages

Python JavaScript

AI/ML & Data Science

PyTorch TensorFlow scikit-learn Pandas NumPy

Cybersecurity

Kali Linux Wireshark

πŸ”₯ Featured Projects

Deep learning model for classifying dog breeds using CNNs

  • Tech: Python, PyTorch, Scikit-Learn, ResNet-50
  • Accuracy: 83%+

Comprehensive implementations of core CS fundamentals: BST, graphs, heaps, pathfinding (Dijkstra's, A*)

  • Tech: Python, Graph Theory, Algorithm Design

Neural network implementation from scratch

  • Tech: Python, NumPy, Scikit-Learn

Full Stack web development prototype for managing airport lounge access

  • Tech: HTML, CSS, Javascript

🎯 Current Focus

  • πŸ”¬ Deep Learning for Computer Vision
  • πŸ›‘οΈ Penetration Testing & Ethical Hacking
  • πŸ“Š Big Data Analytics with Spark
  • πŸ€– Building end-to-end ML pipelines

πŸ“Š GitHub Analytics


πŸ“ˆ Contribution Activity


πŸ“« Connect With Me

LinkedIn


Profile Views

Thanks for visiting! ⭐ Feel free to star my repositories if you find them interesting!

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  1. dog-breed-cnn-classifier dog-breed-cnn-classifier Public

    Deep learning CNN achieving 83.16% accuracy on 120 dog breeds using PyTorch and ResNet-50 transfer learning

    Python

  2. Multi-Layer-Perceptron-Classifier Multi-Layer-Perceptron-Classifier Public

    Python

  3. data-structures-algorithms-python data-structures-algorithms-python Public

    Python implementation of data structures & algorithms

    Python