IIT Kanpur.

IIIT Guwahati.

Sri Gayatri Academy.

Sri Chaitanya Techno School.

Movie Recommendation System with Implicit Feedback

Guide: Dr. Piyush Rai

In this project, we implemented a collaborative filtering model for implicit feedback datasets. We evaluated accuracy and diversity of the recommendation of the model.

Indian Train Delay Data Collection and Analysis

Guide: Dr. Arnab Bhattacharya

Our Group collected train delay information for Indian Railways and done some preliminary analysis of the data and arrived at conclusions about the systemic delays at each station over the year (seasonal and monthly variations).Using train running history for one year, we calculated average delays and standard deviations at each station which can help railways to manage their resources.

Effect of news and Social Media on Stock Price using Sentiment Analysis

Guide: Gitimoni Saikia

In this project I did Sentiment Analysis on data acquired from News and Social Media(Twitter) using two Deep Neural Networks one being Recursive Neural Tensor Networks (RNTN) and other being a variation Of Convolution Neural Network (Character to Sentence Level CNN).

Chatbot Using API.AI

Guide: Dr. Suchetana Chakroborty

Built an intelligent mobile Chatbot app that can understand both text and natural language (audio) and can take actions based on that. We can make it do simple calculations to performing complex operations but as of now it can do a basic talk, basic calculations, weather information, details regarding a movie you want etc. It is done in group of 2 people.

Parking Garage Automation

Guide: Dr. Ferdous Ahmed Barbhuiya

This application is an Automated Parking Garage System done in a group of two, since finding secure parking spaces in a new city never visited is hard and to maximize the occupancy of the parking garage and develop a user friendly mechanism that helps customers find and reserve the parking spots available.

Semi-supervised fuzzy KNN Classifier

Guide: Dr. Moumita Roy

Worked on semi-supervised methods for Land Cover Classification using fuzzy k-nearest neighbors. Aim was to classify the Land cover which may be help full in many ways with less training data using Semi-supervised fuzzy KNN Classifier.

Academic Feedback Automation

Guide: Dr. Shirshendu Das

The project was to develop automated feedback system which allow students to submit feedback through online portal. Complete working system was developed(in a group of 4).

They mainly focus on building Motorola Baby Monitors, Motorola Home Cameras, Motorola Headphones and SmartNursery. I have worked a little on a project with a goal to design a Baby cry Detector where Speech Recognitionand Machine learning techniques was used to determine why the baby is crying.

Teaching Assistant for CS201: Mathematics for Computer Science.

Teaching Assistant for CS771: Introduction to Machine Learning.

Canteen and Utility Secretary GH1.