hasnainhawlader

Car-price-prediction

Here, I will predict the car depends on different things such as Brand Year Fuel type seller type etc. I hope by using this project someone can easily predict used car price

foodverse

This is responsive and visually appealing food lover website using React, React Router Dom, React DOM, Autoprefixer, and PostCSS.

Hate-Speech-Detection

The Hate Speech Detection project aims to develop a machine learning model that can identify instances of hate speech in text data, such as social media posts, comments, and news articles. This project involves using natural language processing techniques to analyze the text and identify patterns and features that indicate hate speech. The goal is

House-cost-prediction

immemorial

I developed a visually appealing website mainly targeting 90's kids using React, GSAP, and PostCSS to create dynamic animations, and React Router Dom to facilitate navigation between pages.

Predicitng-Lungs-Disease

The Predicting-Lungs-Disease deep learning project aims to develop a deep learning model that can predict the presence and severity of lung diseases, such as pneumonia, lung cancer, and chronic obstructive pulmonary disease (COPD), based on medical imaging data such as X-rays and CT scans. This project can be used by radiologists and pulmonologists

proxima-client

I developed a website for the Save Persons project using React, Moment, React Toastify, and React Scripts for the frontend. These technologies enabled me to create an efficient, responsive, and user-friendly interface that allows users to save important information for persons.

proxima-server

For the envelope website, I utilized Express, JSON Web Tokens (JWT), Mongoose, Validator, and Bcrypt to create a robust and secure backend. With Express, I built scalable APIs for the website, whil…

Rock-vs-mine-prediction

In this project, I employed machine learning techniques to analyze and classify sonar data, enabling the system to differentiate between mines and rocks based on the unique patterns and characteristics found in the acoustic signals. This predictive model offers a valuable tool for underwater object identification and is applicable in various fields

Uber-Trips-Analysis

hasnainhawlader/proxima-client

I developed a website for the Save Persons project using React, Moment, React Toastify, and React Scripts for the frontend. These technologies enabled me to create an efficient, responsive, and user-friendly interface that allows users to save important information for persons.

hasnainhawlader/proxima-server

For the envelope website, I utilized Express, JSON Web Tokens (JWT), Mongoose, Validator, and Bcrypt to create a robust and secure backend. With Express, I built scalable APIs for the website, whil…

hasnainhawlader/tera_gard

I developed a website for a security company using lazy loading CSS and React. Lazy loading CSS enabled me to optimize the website's performance by loading the CSS files only when necessary. With React, I built a dynamic and responsive user interface, providing users with an efficient and engaging experience. Overall, these technologies enabled me

hasnainhawlader/Diabetes-Prediction

The Diabetes Prediction ML project aims to develop a machine learning model that can predict the likelihood of an individual developing diabetes based on certain risk factors such as age, weight, blood sugar level, family history, and lifestyle habits. This project can be used by healthcare professionals to identify high-risk patients and provide e

hasnainhawlader/OBSTACLE_AVOIDING_CAR

The Arduino obstacle avoiding car is a small robotic vehicle that uses ultrasonic sensors to detect obstacles in its path and navigate around them. It is programmed using the Arduino platform and can be customized with various sensors and modules to perform additional functions. The obstacle avoiding car is a popular project for beginners in roboti

hasnainhawlader/Predicting-Heart-Disease

The Predicting-Heart-Disease ML project aims to develop a machine learning model that can predict the likelihood of an individual developing heart disease based on certain risk factors such as age, gender, blood pressure, cholesterol levels, smoking habits, and family history. This project can be used by healthcare professionals to identify high-ri

hasnainhawlader/BIRTHDAY

hasnainhawlader/Car-price-prediction

Here, I will predict the car depends on different things such as Brand Year Fuel type seller type etc. I hope by using this project someone can easily predict used car price

hasnainhawlader/Hate-Speech-Detection

The Hate Speech Detection project aims to develop a machine learning model that can identify instances of hate speech in text data, such as social media posts, comments, and news articles. This project involves using natural language processing techniques to analyze the text and identify patterns and features that indicate hate speech. The goal is

hasnainhawlader/House-cost-prediction

hasnainhawlader/Predicitng-Lungs-Disease

The Predicting-Lungs-Disease deep learning project aims to develop a deep learning model that can predict the presence and severity of lung diseases, such as pneumonia, lung cancer, and chronic obstructive pulmonary disease (COPD), based on medical imaging data such as X-rays and CT scans. This project can be used by radiologists and pulmonologists

hasnainhawlader/Rock-vs-mine-prediction

In this project, I employed machine learning techniques to analyze and classify sonar data, enabling the system to differentiate between mines and rocks based on the unique patterns and characteristics found in the acoustic signals. This predictive model offers a valuable tool for underwater object identification and is applicable in various fields

hasnainhawlader/Uber-Trips-Analysis

hasnainhawlader/Braintumar

hasnainhawlader/Diabetes_Prediction

The Diabetes Prediction ML project aims to develop a machine learning model that can predict the likelihood of an individual developing diabetes based on certain risk factors such as age, weight, blood sugar level, family history, and lifestyle habits. This project can be used by healthcare professionals to identify high-risk patients and provide e

hasnainhawlader/Emotion-detection

Emotion detection using AI is a technology that uses artificial intelligence algorithms to identify and analyze human emotions through facial expressions, voice patterns, and other physiological signals. It is commonly used in fields such as marketing, healthcare, and entertainment to gain insights into human behavior and improve user experiences.

hasnainhawlader/envelop-client

I developed the envelope website frontend using React, React Router Dom, React DOM, Autoprefixer, and PostCSS to create a responsive and visually appealing user interface.

hasnainhawlader/envelop-server

For the envelope website, I utilized Express, JSON Web Tokens (JWT), Mongoose, Validator, and Bcrypt to create a robust and secure backend. With Express, I built scalable APIs for the website, while JWT provided a secure way to authenticate and authorize users. Mongoose was used to model the data and interact with the MongoDB database, and Validato

hasnainhawlader/euphoria-ecommerce

Welcome to Euphoria E-commerce, your one-stop destination for all your online shopping needs. Our platform is built on a powerful technology stack, including Next.js, React, Prisma, Tailwind, Redux Toolkit, and Stripe, to deliver a seamless shopping experience.

hasnainhawlader/fire-fighting-robot-with-SMS-and-call-alert-

The Arduino fire-fighting robot with SMS and call alert is a robot designed to detect and extinguish fires in buildings. It uses flame sensors to detect fires and water pumps to spray water or extinguishing agents. In addition, the robot is equipped with a GSM module that can send SMS and call alerts to designated phone numbers in case of a fire em

hasnainhawlader/HR-Dashboard-MySQL-PowerBI

The dataset was cleaned and queried using MySQL inside Jupyter Notebook and visualizes using PowerBI

hasnainhawlader/HR-Power-BI-report

A Human Resources (HR) Power BI report typically focuses on visualizing key HR metrics and insights to support strategic workforce management decisions. This report may include various visualizations

hasnainhawlader/Japanis-school

hasnainhawlader/JS-HW-1

hasnainhawlader/LFR

hasnainhawlader/movie-recommender-system

It analyzes user preferences, viewing history, and similar user behaviors to suggest personalized movie recommendations. The system employs collaborative filtering and content-based approaches to ensure accurate and diverse suggestions, enhancing the user's movie-watching experience.

hasnainhawlader/Movie_recommendation_system

hasnainhawlader/Pi_home_security

The IoT theft detection device with SMS feature is a security system designed to prevent theft or unauthorized access to valuable assets. It uses IoT (Internet of Things) technology to connect to the internet and send SMS alerts to designated phone numbers in case of a security breach. The device is equipped with sensors that detect motion, vibrati

hasnainhawlader/plant_disease_detection

hasnainhawlader/sale-instant