AI Flower Classification & Generation

Hello! My names Kerisa Williams and this is a project my partner Jonathan Moore and I worked on for Pace University's Artificial Intelligence Internship Experience!

In order to complete this final project we:

• Implemented deep learning techniques to identify, sort, and generate Al-generated images of flowers by training a neural network with thousands of flower images, enhancing model accuracy and performance.
• Utilized Python libraries such as NumPy and Pandas to preprocess datasets, manage data structures, and streamline workflow for efficient model development.
• Collaborated with a team using Agile methodology, including scrumming and parallel programming, as well as coordinated development through Git and GitHub for efficient version control and simultaneous project contribution. All in order to complete the final project and deliver a polished presentation.
• Leveraged Google Colab and Visual Studio Code for coding, testing, and debugging, ensuring smooth integration of tools and effective project execution

Link to the slide presentation below

https://docs.google.com/presentation/d/1Hy2o5rCYvl11UM5iSc8jWyXby_F6_wDpvbOt0xy21Cw/edit?usp=sharing