Hey there! I'm Aniket.

A Machine Learning, IoT, UX/UI and Web enthusiast.

About Me

Hello, I'm Aniket Dwivedi. I'm currently an undergrad studying Information Technology at National Institute of Technology, Karnataka. I remember as a kid reading a book called 'Innovators' by Walter Isaacson about the developments in computer technology right from the industrial revolution. I was so entralled and amazed by the power of this medium to encourage collaboration and creativity among humans. In today's digital world, computers and their related technologies provide people with the means to innovate, inspire and empower and I think that's beautiful.

As a final year IT student, I've tried my hand at experimenting and learning about the various avenues IT has to offer these days. I particularly find myself interested in Machine Learning and Internet of Things due to the endless possibilites and applications in these fields. As an artist, I'm also deeply interested in how we can bring together concepts of Humanities and Technology and thus, have started developing a keen interest in UX/UI Design and Research as well.

Skills

Projects

Smart Blind Cane

Co-authored a research paper titled "Smart Blind Cane for the Visually Impaired" which was presented at IEEE TENCON 2019. Connected a sensor network and programmed it using Arduino. Conducted user testing and prepared extensive documentation for the same.

Lyrical Analysis

Conducted lyrical analysis on lyrics from all songs of various music artists to obtain insights into the lyrics. Carried out Sentiment Analysis on the lyrics to determine the songs as positive,negative or neutral using NLTK and VADER Python libraries.

YelpCamp

Developed a Yelp-like application that displays and reviews various campgrounds and hiking trails with sign-in/register functionality. Front-end done using HTML,CSS and JavaScript along with Bootstrap Framework. Back-end done using Node.js with MongoDB database. Deployed using Heroku.

Personal Website

Website-ception! Developed using HTML,CSS and JavaScript along with Bootstrap framework. Deployed using Github pages.