I am a Machine learning enginer with 1 year of experience and intersted in web development using python framework.
As a Machine Learning Enginer at Take Leap I worked with various object detection, recognition and tracking algorithms. And used many image processing tools for several projects.My work
GPA: 8.20
GPA: 8.86
GPA: 8.40
When i am outside, I enjoy most of my time along with friends and I am foodie (like to have different dish everyday). I like unplaned trips with friends and family.
When forced indoors, I follow a number of sci-fi and fantasy genre movies and television shows, I like to do freelancing work, and I spend a large amount of my free time exploring the latest technology advancements in the Artifical Intelligience and python worlds.
During the COVID-19 pandamic takeleap has came with a solution of people maintaing social distance and wearing mask by moniterning by the pre placed CCTV. We have used object detection and various image processing techniques and also created a web application using python framework flask and several web development tools.
To manage the Asserts in highway we made a web application for L & T, which uses machine learning and video analysis to moniter the assets in highway. And also generates daily reports based on the comparisiion.
An attendance system unlike other which use facial recognition for attendance. and the interesting thing is that we use CCTV live video for the attendance(facial recognition system).
A web application that supports multimodal ticket booking system.
Quick solution to find out the physical, chemical and biological properties of Soil by means of spectrograms and determine which type of crop can be grown at that location using Deep learning algorithms. These results can also be used in various pedology and Edaphology departments. Apart from Soil science dept, oceanography, geography departments can also use this model to find out about soil properties at deep sea level or deep caves etc..