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Trained my first machine learning model using a public dataset of uninfected and parasitized cells images to detect malaria in humans with a low margin of error. Created a recursive model architecture with the following algorithm: image processing, grayscale conversion, contour detection, get areas of the 5 largest contours, and finally find the…
A basket ball shot predictor. It will first track the ball using its contours and based on its initial travelling points, predict whether the shot will land in the basket.
The project focuses on detecting custom AR tags that are used for obtaining a point of reference in the real world, such as in augmented reality applications.
A Python script to extract individual photos from scanned images containing multiple photos. It uses advanced image processing techniques to detect, correct orientation, and crop each photo, ensuring clean, high-quality outputs.