Spring 2025
Using Statistical Analysis and Machine Learning to Analyze Student Performance in Math 1020/1021.
Multi-Class Quantification of Frog Embryos using Deep Learning.
For more details, visit the Devision Spring 2025 GitHub repository
Comparative Analysis of Oyster Seed Counting and Deploying the Pre-Trained Model on an End User System.
For more details, watch the hardware setup video tutorial on YouTube, visit the GUI GitHub repository, or explore the Louisiana Sea Grant GitHub repository.
MATLAB to Python: Initial Code Translation.
Rebuilding and Improving a Visual Software GUI for Aquatic Gametes
For more details visit the GUI GitHub repository
Click here to watch the Zoom recording.
| Attachment | Size |
|---|---|
 Matlab-python-poster-Spring-2025.pdf | 183.95 KB |
| Matlab-python-presentation-Spring-2025.pdf | 403.29 KB |
| Matlab-python-Report-Spring-2025.pdf | 129.43 KB |
| GUI-presentation-Spring-2025.pdf | 422.1 KB |
| GUI-poster-Spring-2025.pdf | 503.03 KB |
| GUI Report-Spring-2025.pdf | 102.33 KB |
| S25 Math 4997 Poster Ennis.pdf | 1.03 MB |
| Math 1021 Report Spring 2025.pdf | 1.84 MB |
| Final Presentation S25 MATH 4997.pdf | 3.7 MB |
| 4997 devision Frog presentation S25.pdf | 3.57 MB |
| Multiclass Quantification_of_Frog embryos_using_Deep_Learning_ (1).pdf | 6.84 MB |
| DeVision Spring 2025 Final Report.pdf | 4.88 MB |
| Oyster_Poster_Spring_2025 (1).pdf | 609.43 KB |
| Oyster_Presentation_Spring_2025.pdf | 357.69 KB |
| Oyster Report-Spring 2025.pdf | 565.73 KB |