I am Amit Pile , a recent graduate from MIT Pune in BTech Computer Science. I have almost 1 year experience in software

github

Amit Pile • Peerlist

This was an event website created for the national level event of Civil engineering department of MIT WPU.
I was the project lead on this project and created the frontend for the entire website. The website consists of various tabs which give details about the the event , civil department , the detailed descriptions of the events and , schedule and all the other requirements of the event website. 
The website handled registrations and participants updates.

Nirmitee Website

Creating a software portal to automate the lifecycle of each PhD student in MIT-WPU accross their degree into a digitalized suite

PhD Tracker

In this model we have used regression model in machine learning and made a sentiment analyser which detects the sentiment behind the tweets made . The analysis is done and results are shown with positive , negative and neutral tweets .

sentiment analyser using ML model

Nowadays, Social Media Platforms (SMPs) are being utilized by an enormous number of users to get connected with their friends and family. There are sites like Facebook, Instagram, Twitter where people spend a significant amount of time to get updated about the world. The data uploaded on social media contains their personal information, thoughts on certain topics, news, etc. The social media platforms verify the authenticity of the registered user. However, some of the users hide their 
identities and these people are threats to the security of other user's data. In this work, we have proposed an Machine learning based model that can identify fake or bot created accounts accurately. To validate the authenticity of our work, we have experimented over the publicly available dataset TwiBot-20 and achieved accuracy of 87%.

Social Media Fake Profile Detection using Machine Learning

Website showcasing the grants, patents, citations and research & publication details of faculties of MIT-WPU in the form of chart visualisations, along with information regarding other research opportunities for students and teachers alike