Md Mahfuzur Rahman

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Managing money is a very complex and important task. Not being able to manage money properly can easily lead to waste. The main purpose of this application is to consider a user's money management, to keep track of how much money a user has earned in his daily life and how much money he has spent in any given day. The main purpose of this application is that a user can easily get rid of stress.

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This project implements an end to end semantic text retrieval system based on sentence embeddings and vector similarity.

We are going to create a web application through which a user can take a quiz on Java online and verify himself. It will work as like a mock test before a test.

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

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.

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This project focuses on analyzing real estate data and building predictive insights on house prices. The dataset contains features such as house size, number of bedrooms, and other key attributes.

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.

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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.

This project implements customer segmentation using unsupervised machine learning clustering techniques, specifically KMeans, to group customers based on demographic and behavioral attributes. The segmented clusters help businesses tailor marketing strategies, improve customer engagement, and optimize resource allocation.

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.

This project provides an end-to-end data analysis solution for Walmart sales data. Using Python and SQL, it extracts critical business insights by solving key analytical problems. This repository is ideal for data analysts aiming to enhance their skills in data manipulation, SQL querying, and exploratory data analysis.

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A machine learning-powered tool for predicting residential energy efficiency. It helps optimize building designs by estimating heating and cooling loads before construction, promoting sustainable living.

This game is still being updated. This is the beta version of the game. Possible Final release December second Week.

The number of coronavirus infections in our country is constantly increasing. It is essential to read mask to prevent coronavirus attacks. The purpose of this project is to have a system that will be controlled by the camera and if the person's face is displayed on the camera, the door will open for him/her if he is wearing Max. In this case, we can reduce the corona virus infection by reading mask.

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ongoing

ongoing

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Our application will basically handle all the work of an organization. Where all the information of the organization will be given, social link will be given. Its next day's event and all its events will be shown. There will also be login option, the first admin login where the admin will login with his code. People registered by admin can login using other login options. Here will be the introduction of the members of the organization.

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.

These are the basic Algorithm in c and cpp.

Basically our software will handle the all basic work of a computer science student. where all the teachers and students info will be given, all social and important link also. There is also a login option for user, in this software it have its own browser which will make comfort for user.

Problem Solving by using C/C++

This project is designed to estimate a car price range suitable for customers based on their financial information. By inputting details such as age, salary, and net worth, the app calculates and advises a car price range tailored to the customer.