Research Projects:
Divide-and-conquer Strategy based Multi-label Classifiers [MSc Thesis (2023)]
Keywords: Multi-label classification, Divide-and-conquer algorithm.
Supervised by: Dr. Reshma Rastogi (Associate Professor at SAU)
Bengali Hand Sign Recognition Model using CNN [Bachelor Thesis (2021)]
Abstract: Sign Language is the mode of communication among the deaf and dumb. However, integrating them into the main stream is very difficult as the majority of the society is unaware of their language. So, to bridge the communication gap between the hearing and speech impaired and the rest in Bangladesh, we conducted a research find out a way for better communication between deaf-mute people and ordinary people. There are many existing methods related to Sign Language Recognition in order to achieve this goal. To achieve our goal, we used Convolutional Neural Network (CNN). This research work aim is to apply the concept of Convolutional Neural Network (CNN) for developing a model which can be able to recognize the Bengali Sign Language. Hope in the future, this model can be helping as an interpreter. [Presentation Link]
Supervised by: Mr. Shahed Khan (Former Lecturer at BAIUST)
Previous Academic Projects:
Patrol Pump Inventory Management System [Web-based Project]
Automated Traffic Light Control System using Atmega32 and Round Robin Scheduling [Micro-controller Project]
Hostel Meal Management System [Android Project]
House Rent Management System [Java Project]
Diabetes Dataset Analysis using Supervised ML Algorithm [Python programming-based implementation]