“Passion and diligence are two traits that I believe most reflect me as an individual. It is my belief that this is the key to being successful in any endeavour that one set’s their mind to. I love to generate new ideas and devise feasible solutions to broadly relevant problems. I enjoy embracing the lessons learned from failure, stand up and continue to grow.”
"Been interested in creating my own things and figuring out how things work."
Classification and Prediction of Pulmonary Tuberculosis
In this project we make a computational model to predict the existence of Pulmonary TB. Which is eiter bacteriologically positive or negative. This is a supervised learning model, and the training and test data collected from National Institute of Chest Diseases & Hospital, mohakhali dhaka.
The constant development of computer tools leads to a requirement of easier interfaces between the man and the computer one of the example is handwritten character recognition. Handwritten character recognition is the ability of computer to receive and interpret the handwritten input images from sources such as document, photograph or touch-screen and transform it to machine readable and editable format. In this project we have developed an Artificial Neural Network for recognizing handwritten character. There are several steps we followed in this project. At first we went to the local school and collect handwritten character from the student of different classes for collecting the data. Then we preprocess the data. The input image which consists of the handwritten text will be loaded and will go through some process. The processing of the documents on which the characters to be interpreted reside, starts with making electronic images of them. At the end of the process, the information read from the forms is present in a database. Finally, the classification process will take place and the extracted character will be classified by using the Artificial Neural Network.