Showcase

Malaria Parasite life stage classification from microscopic blood sample image with YOLO-V8.

I utilized a dataset containing microscopic blood sample images with malaria parasites at various life stages. I preprocessed the dataset to make it suitable for the YOLO v8 algorithm and then trained a pre-trained YOLO v8 model to classify and detect these life stages. Through this process, we successfully detected approximately eight different life stages of the malaria parasite. To see the work, click here.

Atrial Fibrillation (AF) Detection with Neural Network and Novel Feature Extraction Algorithms

Extracted different types of features from ECG signal and used this feature to train a Neural Network Model that can classify normal and AF patients. I developed the feature extractor from scratch. you can see the work here.

Classifying different types of clothing products using Deep Learning

Build a CNN model with multiple convolutional, pooling, and dense layers which used to predict the clothing product of a grayscale image. Click here to see the work.

Breast cancer detection from microscopic biopsy image with deep learning model.

I used a dataset of microscopic breast biopsy images to detect breast cancer. I preprocessed the dataset and employed it to train a Convolutional Neural Network (CNN) model. To see the work, click here.

Pong Game

Developed a basic game called "Pong Game" using various Python programming modules. Additionally, I created a Graphical User Interface (GUI) for the game. You can check out this work here.