Hi! My name is Rajat Agrawal. I am pursuing Masters of Human Computer Interaction at Carnegie Mellon University, USA. I did Bachelors of Technology in Information and Communication Technology at Dhirubhai Ambani Institute of Information and Communication Technology, Gujarat, India.
My interests are Human Computer Interaction, Game development and Programming, Computer Graphics, Software Development and Artificial Intelligence.
Below are some of the snapshots of my projects.
LOCATION BASED REMINDER SYSTEM
Recycling Game is 3D computer game developed using Panda 3D game engine to emphasize the importance of recycling to the players.
It is a strategy game in which a player builds a city that is environment friendly and produces the least amount of waste. Players need to recycle the waste
produced by the citizens in the city. They realize the importance of recycling in our lives in this way.
Some features of the game are :
I was mentored by Professor Nitin Raje, DAIICT in this project.
Some of the snapshots of the games are:
I was mentored by Professor Asim Banerjee and Professor Rahul Dubey in this project.
Computer Contract Bridge
Computer Contract Bridge is a software to play the classic game of Duplicate Bridge on a Computer. It is a multiplayer game. This software is developed with a
motivation to replace the existing physical cards and flappers in the game. Introduction of a computer application will eliminate the need to replace torn cards
and damaged flappers. The cards usually become unusable after every game and the flappers are prone to damage.
Lead a team of 3 people to formulate the software engineering process and the design process for the software. Did user study and created a software design for
creating the software design of the software module.
I was mentored by Professor Asim Banerjee in this project.
My team members include :
Voice Interpreter For Old Aged
Voice Interpreter for Old Aged is an embedded system meant for Old people with speaking difficulty to share their thoughts to another person. The old people often
suffer from infirmity due to which they are not able to speak properly. This system recognizes the partial sounds made by the people and outputs a translation of
these sounds through a speaker.
This project was done in the course 'Embedded Systems Programming'.