Name: Habibur Rahman
Type: User
Company: School of Thought
Bio: Technology lover with a particular interest in Operating System, Quantum Information and Machine Learning.
Twitter: bit_habib
Location: Jinju, South Korea
Blog: https://qbithabib.com/
Habibur Rahman's Projects
aaa_school_management
This repository serves as a centralized hub for my AI Ethics course materials, including textbooks, research papers, notes, and more. It's a resource to help me organize and keep track of my studies throughout the semester.
scheduler_algorithm_simulation
Code to accompany "A Method for Animating Children's Drawings of the Human Figure"
Libraries for connecting to the Bybit API.
bellman_ford_algorithm
Md Habibur Rahman Research Assistant (RA) Department of Aerospace and Software Engineering(AI Convergernce Engineering) Gyeongsang National University (GNU) Email: [email protected] Phone: +8201064419715 LinkedIn: linkedin.com/in/bithabib GitHub: github.com/bithabib
bybit_aapi_integration
create_ppt_using_chatgpt
crm_phonecall
CRUD operation using retrofit2.
Data base system, login ,and registration Application
Learn the fundamentals of building an Artificial Intelligence (AI) powered Neural Network using Python in this comprehensive tutorial. Discover the step-by-step process of designing, training, and fine-tuning a neural network to make accurate predictions on various data sets.Master the essential concepts of deep learning and unleash the power of AI
delete_odoo_user
Initial project structure for any new Django application.
Testing Purpose
Docker Full Documentation for Installing and Running Odoo on Ubuntu
Although short-term local measurements of 400 ppm have been recorded previously, this marks the first time since record keeping began that CO2 levels were above 400 ppm globally for a month. Already we're seeing the deadly effects of climate change in the form of rising seas, monster storms, wildfires, and extreme weather of all kinds. Passing 400 ppm is an ominous sign of what might come next. The safe level of carbon dioxide in the atmosphere is 350 parts per million. For our project we will first take the safe level of CO2 as 350ppm. We will observe an area or a zone to collect present percentage of carbon dioxide in the air using a sensor (We will use Arduino for collect data). After that we will compare it with our safe point 350ppm. Based on this comparison we take a decision weather is good or bad .If weather is bad or percentage of carbon dioxide is increased an text message will be sent to the governing members of that area saying that the CO2 level is high in their zone and they should control CO2 release of the area and plant trees. If a week passes but still the CO2 level does not stop decreasing or keeps rising in that zone a notification will be sent to the Bangladesh Environmental Lawyers Association saying that the CO2 level of the indicated zone is increasing and no steps have been takenβ¦. By using this system and dividing a country into zones we can keep the CO2 level of that country in a safe zone and thus save our environment.
An app which will help to save our environment by focusing on the increasing CO2 level in a area and notifying proper authorities. It will also rise people awareness of his surrounding environment. Accurate real time weather report including the rate of C02 in the nature. With it you can know the condition of our nature, so that you can take necessary steps.