This project was about predicting the possibility of a person having a stroke based on various features. The dataset was taken from Kaggle and was quite imbalanced. Therefore, we did data preprocessing, data sampling, and then trained a feed-forward neural network (FNN) model. We used NumPy, Pandas, Scikit-learn, and Matplotlib for this project.

Supervisor:   Ajmain Yasar Ahmed Sahil (BUET)

Neural Network Data Preprocessing Data Sampling NumPy Pandas Scikit-learn Matplotlib

Developed a web platform aiming to help the job seekers with landing in their dream jobs. The platform was developed using NodeJS, PostgreSQL and ReactJS.

Supervisor:   Sheikh Azizul Hakim (Lecturer, BUET)

Web Development NodeJS PostgreSQL ReactJS

Built a smart Home Assistant Software which can communicate with the user and execute tasks accordingly.This project is built using Nodejs and numerous APIs and cloud services.

Microsoft Azure Google API Spotify API Javascript

Developed a social networking platform to share post, organize events, create groups and sell merchandise dedicated for the alumni of BUET. The platform was developed using NodeJS, EJS and Oracle Database.

Supervisor:   Dr. Rifat Shahriyar (Professor, BUET)

Web Development Oracle Database NodeJS EJS

Developed an online shopping platform with Java Springboot, PostgreSQL and HTML, CSS, Bootstrap.

Web Development Springboot PostgreSQL Bootstrap

Developed a bubble shooting game using iGraphics, OpenGL and C++.

Supervisor:   Mahmudur Rahman Hera (Assistant Professor, BUET)

OpenGL iGraphics C++