Md Mahfuzur Rahman
Fun with AI
Contributions (2025)
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online_course_platform_E-CourseV1.1
The Online Course Platform is a web-based application designed to facilitate learning for students from junior to university levels. The platform connects instructors and students, enabling instructors to create and manage courses while allowing students to browse, enroll, and interact with the content.
atmosphericCO2-shiftdetection-forecast
Predictive modeling of 67 years of atmospheric CO₂ using regime‐shift detection (STL + PELT) and ensemble forecasting (ARIMA, SARIMA, Holt–Winters, RF, ANN, LSTM). Evaluated with in-sample, out-of-sample, and prequential rolling forecasts to deliver reliable five-year projections with regime shif
crops-image-recognition
This project utilizes deep learning to classify images of various agricultural crops. It leverages the ResNet50 architecture as a pre-trained feature extractor and builds a custom classifier on top to identify 30 different crop types. Additionally, a Streamlit-based web application allows users to upload images and receive crop predictions.
Financial-Fraud-Detection-Analysis
identify fraudulent financial transactions using key behavioral patterns in transaction data. It includes comprehensive data preprocessing, model training using scikit-learn, and a Streamlit web app that allows users to input transaction details and receive instant fraud predictions.
Interactive-Data-Visualization
designed to visualize global trends in air pollution death through a series of dynamic charts, maps, and key metrics. By analyzing how well the current prototype communicates significant insights and supports user exploration, this study guides the next iteration of the design.
Credit-Card-Approval-Predictor
This project aims to predict credit card approval using machine learning techniques. The goal is to build and evaluate various classification models to identify the best-performing model for accurate prediction.