Nikki Wood | Spring 2021
The goal of this project is to create an AI to learn and replicate the synesthetic responses of one young adult woman. This AI will be trained for three categories (luminosity, color, and texture). After being trained, the user should be able to input a 30 second song sample; the AI will analyze the sample and output a prediction for the client's synesthetic response.
Luminosity refers to the brightness of the color and quantity of light. Some colors may appear muted, while others are bright and vibrant. This value will simply be recorded as either Yes or No.
Color will be broken into 11 options: Red, Orange, Yellow, Green, Blue, Purple, Pink, Black, White, Gray, and Brown.
Texture also supports the overall impression of a color. Texture categories will be Sparkly, Spiky, Woody, Smoky, Smooth, Soft, and None.
- Code Generated: main.py, build_model.py, extract_data
- Accuracy Report and Reflection
- Neural Net and Deep Learning practice in Python
- Data and Responses Excel sheet
- Reflection(s) of knowledge expansion and objectives
- Documentation kept through process
- Time report
- Final presentation
- Literary review (Secondary)
- Report for publication (Tertiary)
Please refer to the Project Evaluation and Initial Contract