Projects - Soyabul Islam Lincoln

Machine Learning-based project to detect handwritten Bengali digits using a pre-trained model.

Python TensorFlow CNN

Machine Learning and computer vision-based project to detect flowers using PyTorch and TPU.

PyTorch Computer Vision Transfer Learning

Analyzed chest radiogram images to detect pneumonia using image processing and machine learning.

Medical Imaging OpenCV Deep Learning

Deep learning and computer vision approach using Mask-RCNN and EfficientNet.

Mask-RCNN EfficientNet Object Detection

Developed a learning platform for DevIncept using HTML, CSS, JavaScript, and Django.

Django JavaScript Full Stack

Processed retina dataset and classified using ensemble deep learning model.

Ensemble Learning Medical AI Image Processing

Classification of lung and colon cancer using ensemble model (Xception + MobileNet).

Xception MobileNet Cancer Detection

Deep Learning and NLP-based project to classify harmful comments on social media.

NLP BERT Text Classification