AI for Digital Forensics Hands-on Labs

Overview

Welcome to the AI for Digital Forensics Hands-on Labs repository! This repository provides a series of hands-on labs designed for students and faculty to explore the importance and application of AI in digital forensics. Through interactive exercises, you will learn how to train and test AI models, work with datasets, and apply AI techniques to real-world forensic scenarios.

Key Features

Hands-on Labs: Step-by-step guides to implement AI techniques in digital forensics.
Pre-collected Datasets: Curated online datasets for training and testing AI models.
Model Training & Testing: Learn how to train, evaluate, and optimize AI models.
Custom Data Support: Apply AI models to your own forensic datasets.
Google Colab Support: Run all labs in the cloud with Google Colab—no local setup required.
Open-source Code: All source code is open and modifiable based on student and faculty needs.

Getting Started

Prerequisites

To complete these labs, you will need:

A Google account (for Google Colab)
Basic knowledge of Python and machine learning concepts
Familiarity with digital forensics fundamentals (recommended)

Running the Labs

Add the following string before each each Jupyter files (incluidng path)

https://colab.research.google.com/github/frankwxu/AI4DigitalForensics/blob/main/

Contributing

We welcome contributions from students, faculty, and researchers! Feel free to:

Improve existing labs
Add new datasets or models
Report issues or suggest enhancements

License

This project is open-source and available under the MIT License.

Contact

For any questions, feel free to open an issue or reach out to us at fxu at ubal dot edu. Happy learning! 🚀

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