Setup and programmed a Raspberry Pi to fucntion as a facial recognition door lock. The software used was OpenCV, an open source facial recognition software. No parts were bought premade and the entire design (Including the enclosure) was made by myself and a fellow classmate. The enclosure was CAD modeled and 3d printed by myself. 

Whenever a recognized face is in frame, the camera draws a box around the persons face. Once the face is identified, it will display a confidence level. If the confidence level of the face is over a 70% match to one in our database, it will trigger the servo motor to rotate. If at any point, there is an unrecognized face in the system, it will say "Unknown" and not trigger the servo motor. 

This mock investigation was done to identify the owner of a laptop that contained illegal explicit images. During the investigation, numerous other crimes were found. They are all detailed in the presentation. 

Programs used: Forensic Tool Kit, Autopsy, EnCase, OS Forensics, ProDiscover, InvisibleSecrets

For this project, a classmate and I were tasked with purchasing all networking equipment and "setting it up" for them. We were given guidelines to follow for purchasing and all network setup was done in Cisco Packet Tracer. 

For this project, I was tasked with trying to pull as much information from a network that I could. During the project, I had to brute force passwords, use rainbow tables, use known backdoors into programs, and use other various ways to extract information from the network. All details are outlined in the report.