Samiul Hoque
Final Year - CSE Student
International Islamic University Chattogram
Project
Developed a land use and land cover classification model using satellite imagery. Applied Object-Based Image Analysis (OBIA) alongside CNN models. Improved classification accuracy across heterogeneous terrain. Performed image preprocessing, feature extrac
Project
Developed an intrusion detection system for IoT environments. Combined multiple machine learning classifiers using a soft voting ensemble. Focused on improving classification accuracy while incorporating explainable AI techniques for model transparency.
Project
Designed an intelligent finance tracking application for monitoring income and expenses. Generated spending insights using data visualization and statistical analysis. Explored predictive analytics for financial planning and budgeting.
Project
Built a deep learning model for automated lung cancer detection using CT scan images. Implemented image preprocessing and CNN architectures for medical image classification. Evaluated model performance using standard classification metrics.