I am a Master’s student in the department of Computer Science and Engineering at Vellore Institute of Technology. My primary research interests lies in Deep Learning and Computer Vision. I consider myself an open-minded person who is willing to learn new things and willing to share my knowledge with others. I love to explore, whether it be places or skills. I love collaborating with diverse teams to solve intriguing challenges. I am passionate about data science, GPU’s (of course) and Anime (lol!). To know more about me, scroll down…
Developed an application that extracts values against each fields of an Insurance form using Image Processing and OCR Engine
Developed an Android App with features such as- user signup/login , Bluetooth Low Energy (BLE) connectivity and Location Services.
Predicting the Energy Efficiency (Heating Load and Cooling Load) of buildings using Azure Machine Learning Studio.
Boosted Decision Tree Regression method is used as the model due to its ability to learn non-linearity in data.
A local network based Media Server built on Raspberry Pi for seamless media streaming across devices (cross platform).
An Open CV project that captures webcam feed and tracks a particular color and draws the path of that color movement. It can be used to write on screen by just moving a pen in air.
The project uses a Convolutional Neural Network that is trained on a dataset of 40,001 images of diseased leaves belonging to 9 agricultural crops. This project deals with the development of an expert system to detect and identify the major diseases that some of the agricultural crops suffer from, and also suggest the steps to be taken after that. The model achieved an accuracy of 98.48% .
Scrapes youtube comments via url and tweets from twitter using Hashtags and can detect toxicity percentage on the data.
A Web-based Messaging Android Application that uses End-to-End Encryption on text and images.