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Joseph Olufemi Davis
I'm a rising sophomore at Howard University in Washington, DC, interested in computer vision and
perception. I am dedicated to pursuing a PhD, doing research on machine learning and CV. At Howard, I conduct research with
Dr. Danda B. Rawat in the CoE-AIML.
I am currently looking for research opportunities for next Summer (2027).
Email /
CV /
LinkedIn /
Github
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Research
I'm very interested in object detection and scene reconstruction. I am excited for future research work, and hope to continue to produce publications throughout my undergraduate career and beyond.
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Diabetic Retinopathy Predictor
Python, PyTorch, Scikit-learn
Repo
Developed a machine learning model that predicts diabetic retinopathy severity (1-5) from retinal images using PyTorch. Built a custom, robust CNN architecture to classify retinal images with 0.80 Precision, 0.82 Recall, and 0.80 F1 Score. Aggregated and preprocessed a dataset of 30,000+ retinal images from Kaggle to train the model.
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Sign Language Letter Classifier
Python, Tensorflow, scikit-learn, Keras, OpenCV, MediaPipe
Repo
Created a dataset with 12,000+ hand gestures of ASL letters using Google's MediaPipe framework. Trained a quick MLP on the data, allowing for real-time inference through video footage.
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Jam Plan Scheduler
Java, CSV
Repo
Designed and implemented a scheduling algorithm that optimizes class schedules for 700+ students based on their course preferences and availability. Deployed the algorithm to assist academic advisors with course planning, resulting in improved student satisfaction and reduced scheduling conflicts
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