Computer Vision
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Highly motivated and fast-learning Electrical Engineering student (expected graduation: August 2024) with internship experience in AI development. Possesses strong skills in data analysis, problem-solving, communication, and teamwork. Eager to leverage expertise in Python, OpenCV, and deep learning techniques (CNNs) to contribute to advancements in technology and industry
Internship Project: AI-Based Gender Detection from Body Images
Created a convolutional neural network (CNN) model to classify human body images for genderdetection.
Trained the model on a large dataset of labeled body images and achieved an accuracy of 82% ingender classification.
Developed a simple API to process images.
Bachelor of Science in Electrical Engineering (Expected Graduation: August 2024)
Computer Vision with Applications in Artificial Intelligence
