Tahsinul Haque Dhrubo, Md Tanzim Reza, Sihab Sahariar, Wasif Afnan Mukto
Effective communication is a fundamental human need, yet millions of deaf individuals worldwide face significant barriers when interacting with the non-deaf population. Our research addresses this challenge by developing an innovative system that utilizes Natural Language Processing (NLP) techniques...
Tahsinul Haque Dhrubo, Md Tanzim Reza, Sihab Sahariar, Wasif Afnan Mukto
Bangladeshi Sign Language is a primary means of communication for many Deaf people in Bangladesh, yet communication with non-signers remains difficult. Most existing systems for this language focus on alphabets or a small set of static signs and do not address accurate word-level translation in real...
Md Shohanur Rahman, Md. Atikur Rahman, Tahsinul Haque Dhrubo
Utilizing a variety of machine learning techniques, including Random Forest, Decision Tree, XGBoost, K-nearest neighbors, and Logistic Regression, this research investigates the issue of Smoking Status Prediction. Using critical metrics including F1-score, precision, accuracy, and recall, the resear...
Tahsinul Haque Dhrubo, Noshin Tabassum, Asm Tareq Mahmood, Riead Hasan Khan et al.
The twenty-first century saw the introduction of new technologies that can aid communication and assist people with disabilities. For instance, using a mechanical hand to convert sign language into English was first showcased in 1977. Such innovations fueled inventions that could assist sign languag...
Tahsinul Haque Dhrubo, Noshin Tabassum, Md. Shaeak Ibna Salim, Md Tifur Waesh Niloy
The combination of Bengali literature and AI revolutionized the chatbot industry and opened the door for other languages ready to be digitally represented.The fusion of Bengali culture and AI technology stands us out in the competitive world of chatbots.As part of our research, we built a machine-le...