Rizki Abdillah

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)

University Negeri Semarang

Relevant Coursework

Computer Vision with Applications in Artificial Intelligence