Research works

-> Publications

• “Deep Learning based Bangla Voice to Braille Character Conversion System” - Published in 2022 IEEE 13th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)

  • This paper introduces a system that will help visually impaired people to start their basic education with a technology that is capable of recognizing Bangla characters. When a Bangla character is uttered by a person, our system will convert that character into a braille pattern. Afterward, a person using a finger touch can easily recognize the corresponding braille for that character.
  • The voice recognition is done using the Visual Geometry Group (VGG-16) model of Convolutional Neural Network (CNN) and Arduino Uno.
  • A 16x4 LCD display is used to generate the braille pattern for the recognized character.
  • Full text available here: Deep Learning based Bangla Voice to Braille Character Conversion System

-> Ongoing Works

• A research in the nlp domain focusing on media bias
• Categorizing Insect Pests from a large scale Image Data using image recognition, deep learning and machine learning models