Previously I have worked as a Machine Learning Engineer (Intern) at Nazpev Inc. and Executive Member(AI & ML Researcher) at DIU NLP & ML Lab, developing some AI based solutions with some awesome people.
Being a Machine learning enthusiast, I enjoy bridging the gap between engineering and AI — combining my technical knowledge with my keen heart for mankind to creates intelligent product. My goal is to build applications that are scalable and efficient under the hood while providing engaging, pixel-perfect user experiences.
In this project, a deep learning model is trained to classify crop diseases. The convolutional neural net- work (CNN) model is used to classify and detect Potato & Tomato plant diseases.
This is a Machine Learning project where a huge number of data were used to analyze and predict Road Accidents using multiple Machine Learning algorithms. Six ML algorithms were used to get best possible results in comparison.
n this project, YOLOv3 and Python were use to train a model which can detect multiple objects in real time with high accuracy rate.
An E-commerce web application build with Django (Python) as the backend service & HTML, CSS, JavaScript, Bootstrap as the frontend UI. This web application includes all necessary features of a top rated online store.
A blogging website with Django, ReactJS and JavaScript.