I am a patient learner and have decent grasping power. I am inquisitive and can be productive at the same time. I am very enthusiastic about Computer Vision and Artificial Intelligence. I have done several projects and courses in sync with the job role. Hence, I believe that my exposure, my interests, and my experience will help me do justice to this position. Given the opportunity, I am sure that I will not let you down in any manner.
I created this project to detect rotten fruits using convolutional neural networks. I tried multiple CNN architectures such as VggNet, ResNet, NasNet etc. to build the best possible model. Further details can be found on the GitHub repository
This project was created as a submission for Safer India Hackathon. The project details can be found on the GitHub repository. My task in the project was to setup the database using MongoDB and processing the images using OpenCV before passing it to TesseractOCR for text detection.
This was a solo project where I used LSTM (Long Short-Term Memory) to create a Recurrent Neural Network which could predict Litecoin prices based on close price and volume of other cryptos.
Smart Assign is a React based web application aimed to motivate high school students to enjoy learning in the pandemic situation. My role was to setup the backend of the website and create the web pages that were required for the website. I worked with firebase as the backend database. To incorporate the dynamic nature of the website, I used React hooks for most parts.