Projects

Loopr is a project which provides A complete data Labeling solution for model training, data augmentation and quality control with easy automation through powerful APIs, workforce management, quality assurance, analytics and AI powered assisted Labeling.I mainly worked in the Backend API and Backend Project. I developed Bfa and Notification Server for this project. This was the most wonderful experience to write the code for the company.

Tank2Tank is a company in USA which used to ship their goods specially oils and minerals across all the cities in the country. They wanted us to make an online management system to track the status of the shipment. Assign driver to the trailer and track the order and make sure their all the functionalities works fine.

TaskManager as the name suggest it is the Web App which can be used by individuals to manage his day to day work this app gives ability to add the new activity that needed to be completed and one can remove it after completing it. It is developed with one of the most demanded technology Nodejs and Expressjs and Web design technologies.

This website was made by me while I was learning the WebD. In this website I tried to add all the feature a that a startup Website may have. I focused to get hands on practical in Frontend website so I made this a native startup kind of website.

This Project was made to enhance my skills in understanding the python and get hands on practice in OPPs and Tkinter while learning the Python. In this project a student can calculate the cgpa and can also predict his/her cgpa for upcoming semester .My motive to make this project was to enable the student to get to know what may be the expected cgpa and how much they have to study In order to get their desired CGPA.

This is very intelligent and the useful Machine Learning model. This can detect if the type of the cancer in the women is dangerous or not and it was even faster and accurate than doctor. Mainly used technologies are Machine learning and Deep Learning to process the dataset and make the neural network.Dataset of the images as the 16*16 pixel of the cancers tumer was given and I processed it in such a way that if a new image comes then it can tell if it is dangerous or not