Product @ Hevo

Shikhar Vaish • Peerlist

Go Corona Go

• Implemented the MCL particle filter algorithm in C++
• Used ROS to build the project from scratch.

MCL Particle Filter for a 2-D LiDAR

ScribleIt

• Implemented the A Neural Algorithm of Artistic Style paper in Python using Pytorch
• Implemented Convolutional Neural Network to  achieve state-of-the-art results

Neural Style Transfer

• Designed and developed a Kernel Call based tracer as a service for Windows operating system.

• Implemented Microsoft diagnostics, System Compiler, System Run time libraries in C#.

• Can be used for data set creation in Software security by researchers worldwide.

Kernel Call Tracer

• Implemented SMTP library of Python.

• Configured it to extract data from different types of files.

• Can be used to send mails from SSL as well as non-encrypted connections.

SMTP Mailer

• An AI-based caption generating android app wherein the user uploads the image and gets the appropriate captions.

• Image compression to a high extent (from 6.6 MB to 88 kB.) 

• The image is processed using Microsoft Azure computer vision API to get appropriate tags using which we generate captions and hashtags.

Mr Caption

• An android app for recording the attendance of the incoming attendees in E-Summit.

• Send a unique automatically generated QR code using JavaScript. and SMTP.

• On Scan, the record was matched by our database and the attendance was recorded in Google Sheets.

QR ATTENDANCE SYSTEM

• Implemented HTML Parser library of Python for scrapping

• Filtered the link to give each downloaded video a meaningful name.

MIT OCW Downloader

• A Django based blogging app made for E-Cell with user and admin's interface. 

• Sorts them according to the recent activity and popularity of the blog post.

BLOGGER

• A simple, responsive website made on HTML5, CSS Bootstrap.

E-CELL WEBSITE

• Made a fully responsive website for the Entrepreneurship Development Cell for registration for the E-Summit'18.

• Implemented the Paytm's Payment gateway in the website.

• Front-end: HTML5, CSS, JavaScript and it's various libraries.
• Back-end: PHP and MySQL as the database.