Obidur Rahman is a Mathematics Student at University of Chittagong. He has experience * shaping emerging tech, ◊ creating mathematical systems, and ⌘ cultivating design community.

Currently working with Artificial Intelligence, Machine Learning, and Deep Learning

Comparative Analysis of Lightweight Vision Models for Tomato Disease Classification

This project provides a comprehensive comparative analysis of various lightweight vision models for the classification of tomato diseases. The primary goal of this research is to identify efficient and accurate models suitable for deployment on edge devices, enabling real-time, in-field disease diagnosis for farmers.

Environmental Determinants of Diarrheal Disease

Analysis of the relationship between environmental factors and diarrheal disease incidence across four major divisions in Bangladesh using machine learning models and time series analysis.

Study of Features Affecting Undergraduate University Admission in Bangladesh

A data-driven analysis machine learning, interpretability, fairness analysis and predictive modeling project exploring what drives students in Bangladesh to attend public vs. private universities.

Obidur Rahman is a Mathematics Student at University of Chittagong. He has experience * shaping emerging tech, ◊ creating mathematical systems, and ⌘ cultivating design community.

Comparative Analysis of Lightweight Vision Models for Tomato Disease Classification

Environmental Determinants of Diarrheal Disease

Study of Features Affecting Undergraduate University Admission in Bangladesh

More Work

ashfinn.github.io

the-code-forum

HelpBot

Matlab-Hero

Cardify Studio

Pixel-Craft