EMoTION detection with smart glasses
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.
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
NurseJoy: The Bot
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.
smart Aqi monitoring devices
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.
Smart Farming Assistant
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.