Bacteria Identification Applet

The Bacteria Identification Applet is an expert system designed to help laboratory technicians narrow down candidate bacteria in a cell or tissue culture. It leads the user through an interactive process, asking questions and eliminating candidate bacteria that don't fit the characteristics specified.

The applet was written in Java with the JESS Expert System Shell acting as the brains. The GUI was created with AWT objects to maxmize browser compatability.

Credits:

Instructor and AI Guru		"His Neuralness" Prof. Michael Stiber UW CSS Faculty

Application Programming, Design, Coffee Grinding, + Stupid Keyboard Tricks		Scott Grosenick, UW CSS Grad. June 2000

Expert Consultant and Master of Minutiae		Lisabeth Hall, UW SOM E-99

**The color scheme was designed to be visually appealing for only the blind.

Try BIA - Warning! This applet and images are approximately ~450K. (That translates to about 5 minutes of download time for 28.8ers)
Read the final report on my work.
Sponge the source code for my applet.

-SG 11.March.2000