नमस्ते, I'm Chirantan 🙏

💼 Experience :

Research Intern

Reviewed research articles employing Deep Learning to study the impact of the pandemic on physical and mental health of people. Two book chapters were written on our analytical review which have been accepted for publication.
Represented CDAC in International Telecommunication Union (ITU) organised AI/ML in 5G challenge, where we explored methods for Indoor localisation where GPS do not yield accurate results using Machine Learning algorithms from Received Signal Strength (RSSI) values from Wifi routers. The solution provided was awarded by the Telecommunication Technology Committee (TTC), Japan for our meticulous approach. I am currently working on writing an article on the same for publication.
Initiated work on the development of a robust and deployable AutoML package for Python to make writing Machine Learning code a easier and making the power of ML accessible to all.

Research Associate under Dr. Anamaria Berea

We looked into the fundamentals of communication and information exchange from cells to animals to humans and artificial systems such as AI.
We tried to understand the role of communication plays for collective behavior in species and for the adaptation and selection of species in general.
We used information theory, agent-based modeling and natural language processing to analyze datasets such as those of gorilla calls, dolphin languages and mycelial networks.
Had to complete ethics module (a discussion on a topic attracting conflicting views) and communication module (publishing articles for BMSIS website) for successful completion of the program.

eYantra Robotics Competition, IIT Bombay

Programmed and simulated two UR5 arms to work in fully automated warehouse scenarios - to segregate packaging.
Developed a dynamic dashboard using Web development techniques for dynamically updating and showing all relevant in formations required in a shipping scenario.
Skills used: Python, ROS Melodic, Gazebo, Computer Vision, IOT, Ajax

Department of Biotechnology - Govt. of India

Automated the temperature based screening task for COVID’19 screening.
Detect and alert whenever a person is in between the range of 10cm to 20cm in front of the machine.
Measures body temperature
It should measure temperature only when someone is detected not all the time.
If the temperature is high, then a buzzer & RED LED should be turned on, to alert Gatekeeper.
If the temperature is normal, then it should turn on the GREEN LED.
It should spray sanitizer whenever hands are placed below a knob/a fixed point
Display all relevant things over the LCD & Serial Monitor simultaneously.
Count of the number of person currently inside should be maintained and displayed properly.

Ganguly, C., Nayak, S. and Gupta, A., (2022) Mental health impact of COVID-19 and machine learning applications in combating mental disorders: a review. 1st edition. Academic Press, ISBN 978-0-323-91196-2. Book Link
Nayak, S., Ganguly, C. and Gupta, A., (2022) A review of Machine Learning techniques to detect and treat COVID-19 using EHR data. [Accepted, Currently in Publication process]