Developed a standalone, minimally invasive, wearable bodily fluid volume monitoring system that is robust to measure, store, and analyze menstrual blood volume from in use sanitary napkin. 

Supervised by: Dr. Aman Parnami, Weave Lab, IIIT-Delhi.

Publication

Developing a low-power sensing system which is capable of detecting human emotions by capturing physical changes that occur on the human face, which could be integrated on a smart glass with minimal changes.  

Supervised by : Dr. Shengdong Zhao, National University of Singapore.

Establishing and testing the viability of visible light communication on a drone and further deployment in network of drones

Supervised by : Dr. Ashwin Ashok, Georgia State University.

Published in Light-up-the-Iot workshop (ACM MobiCom 2020)

Publication Video 

A light and compact wearable for capturing precise finger and hand gestures - uses potentiometers placed at every joint of the hand and an IMU at back of the hand.

Poster presented at New York University at ESWEEK 2019

Published in ACM WearSys 2020

Publication   Video    SRC Abstract      [Presentation]     [Ver. 1: Video]

Guided by:- Ms. Monica Bhutani, Dr. Brejesh Lall, IIT Delhi

Project Documentation

Autonomous heavy duty unmanned ground vehicle, capable of collision avoidance using Lidar and vision.

Supervised by:- Dr. P.B. Sujit, IIIT Delhi

A assistive humanoid robot for nurses at the hospitals to help them inlifting, turning and bathing of overweight and unconcious patients in ICU and also keep the records for all the patients.

 Project Video

Way point navigation of drone(a bee) with overhead camera performing a particular task using ROS(Robotics Operating System).

See Project          Project Video          eYRC Video

Developed smart AQI measuring devices for personal use and for a network of devices across the campus. These devices were based on STM32 running micropython.

At Aerogram Pvt Ltd, IIT Delhi led by Dr. Sarita Ahlawat

A smart device consisting of a positioning-system that guides tourists at tourist destinations using Received Signal Strength Indicator triangulation method in Raspberry pi and Smartphone.

Publication

A robotic assistant for farmers that autonomously makes crop-oriented farming decisions.  It sows seeds,  analyses the field sectionally and provides water and fertilizers accordingly.

A bot that traverses an area using vision and responses to various colors and shapes in that area representing flower plants.  All computation done on an board Raspberry Pi.