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Md Muballigh Hossain Bhuyain's Projects

bfs-python icon bfs-python

There is an Alien(Xenomorph) Apocalypse in XCITY and every minute Aliens are attacking human beings around them. Imagine XCITY as a grid where "A" represents the position of an Alien, "H" represents the position of a human being and "T" represents heat traps set up by humans which the Aliens cannot cross. The regions of the Aliens will not overlap, i.e. two or more Aliens will never have a common human to prey on. An Alien can attack human beings on it's north,south,east and west simultaneously using its deadly advanced physical attributes. A human being becomes a host after an attack and a new Alien spawns in that position. Your task is to find out the minimum number of minutes it would take for the Aliens to attack all the humans around them. Also, print "No one survived" if no human beings survive the Apocalypse or "number_of_human_beings survived" otherwise.

data-pre-processing-machine-learning icon data-pre-processing-machine-learning

Load the dataset as dataframe using pandas . Handle missing values if needed . Encode categorical features if needed . Scale all the values between 0-1 with proper scaling technique. Split the dataset into features and labels. Use your intuition to determine which column indicates the labels.

dda_line_algorithm_java icon dda_line_algorithm_java

The task is to draw lines that show the last two digits of your own ID using DDA Algorithm. The task is to draw lines that show the last two digits of your own ID using DDA Algorithm.

decision-tree-machine-learning icon decision-tree-machine-learning

Perform classification and calculate accuracy using decision tree (Use sklearn library). Perform necessary pre-processing on the dataset before classification. Use 8:2 train-test split.

dfs-python icon dfs-python

We all know that currently, we are going through a pandemic period. Several measures are now taken so that we can overcome this period and resume our daily activities like we did earlier. Educational institutions are trying to resume all activities and they are doing their best to do it successfully. We know that this disease is contagious and anyone affected comes in contact with another person, then he or she needs to stay in quarantine. Suppose an educational institution “X” has hired you to design a system known as an “Infected tracker”. An infected tracker tries to figure out the region/number of surrounding people who can be affected by a single person. Then it prints the maximum region infected. Here you can consider Y being infected and N is not infected. Your task is to find the maximum region with Y i.e. max people infected in a region so that strict measures can be taken in that region. Keep in mind that two people are said to be infected if two elements in the matrix are Y horizontally, vertically or diagonally.

docker icon docker

Documentation on Docker, Docker Images, Docker Files, Docker Container, DockerHub, and Deployment of Web-Apps using Docker.

exploring-the-intersection-of-ml-and-xai icon exploring-the-intersection-of-ml-and-xai

Exploring the Intersection of Machine Learning and Explainable Artificial Intelligence: An Analysis and Validation of Machine Learning Models Through XAI for Intrusion Detection

fire-detection-system-arduino-proteus-labview icon fire-detection-system-arduino-proteus-labview

A Smart Fire Detection System; implemented and simulated using Arduino IDE, Proteus and LabView. In the project, we used Flame and Smoke sensors in order to detect the presence of a fire, which then initiates an alert system by the utilization of a Buzzer and two LEDs.

genetic-algorithm-python icon genetic-algorithm-python

Suppose, you are the owner of a bank that operates in a strange way. Customers can lend money from your bank (just like a normal bank) and they can also deposit money in your bank. A register is maintained to track the daily transactions. However, being the strange owner of a strange bank, you have a fascination with finding out whether a portion of your daily transactions (in/out) balance out to zero.

iot-botnet-detection-using-a-hybrid-quantum-machine-learning-model icon iot-botnet-detection-using-a-hybrid-quantum-machine-learning-model

This research aims to develop an advanced detection algorithm based on a hybrid quantum machine learning model. This model takes the classical machine learning model and adds a quantum layer to it, ensuring better performance overall. We hope our model aids in a more robust and more responsive detection system to protect IoT devices.

livewire-crud-operation icon livewire-crud-operation

Using Livewire to build a seamless CRUD operation. Students can be created, edited and deleted seamlessly without needing to reload the page.

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