Core Courses
Elective Courses
Skillset
- Python Programming
- SQL
- MATLAB
- Tensorflow, Keras, and PyTorch
- Machine Learning Algorithms
- Neural Networks
- Natural Language Processing
- Tableau
- Power BI
Projects
Leveraging Deep Learning Models for Bird Species Classification | Deep Learning | Fall 2023
Focusing on Convolutional Neural Network (CNN), ResNet, DenseNet, and Vision Transformer (ViT) models involving training on feature-augmented image data to capture complex visual characteristics. This was implemented using Python programming language on Google Colab.
Generating Synthetic Faces using Generative Adversarial Networks | Machine Learning | Spring 2023
Developed a generative model using pre-trained models capable of producing realistic, high-quality synthetic faces indistinguishable from real faces. This was implemented using Python programming language on Google Colab.
Pneumonia Detection using Convolutional Neural Network | Software Development for Artificial Intelligence | Spring 2023
Trained and improved the ability of a Convolutional Neural Network to identify if a patient has pneumonia using X-ray images. Created a local website to display the prediction when a new X-ray image is uploaded. Training of the model was done using Python programming language and deployment of the model to a local webpage was done using Streamlit.
On-Campus Student Employement
University of North Texas Libraries – Digital Imaging Student Assistant
February 2023 - December 2024
- Captured metadata for 100+ historical letters.
- Digitized 20+ archival books and ledgers with perfection.
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© Lakshmi Keerthi Gopireddy