Thinkerbell Labs can help identify high-risk zones by analysing COVID-19 data
Bengaluru-based assisted learning startup Thinkerbell Labs has developed Chakravyuh, a new product that takes body temperature data at citizen touch points, analyses and predicts spread patterns, and collects metadata for contact tracing.
The outbreak of COVID-19 has highlighted the importance of storing and analyzing healthcare data in order to identify the health trends and take measures accordingly. Bengaluru-based Thinkerbell Labs, which makes Braille literacy devices for the visually impaired, is now using its technical expertise to help governments and businesses collect and analyse real-time data on COVID-19 through its new product, Chakravyuh. Founded in 2016 by Sanskriti Dawle, Aman Srivastava, Dilip Ramesh, and Saif Shaikh, Thinkerbell Labs, previously known as Project Mudra, began its journey as an independent research project at BITS Pilani Goa.
The startup’s core product Annie, named after Helen Keller's teacher Anne Sullivan, is a literacy device that helps the visually impaired learn to read, write, and type in Braille on their own. According to the company, the product has been deployed at more than 16 locations across the country. Amid COVID-19, the startup developed a new product. Speaking to YourStory, Co-founder and COO Aman says at present the process of contact tracing begins only when someone tests positive. The problem is that by the time contacts are traced, the affected person may have unknowingly infected others in the community. Thinkerbell’s Chakravyuh aims to provide a solution to this problem.