Team L&M
To detect and predict Covid-19 among other lung issues such as lung cancer and 16 most common and dangerous lung abnormalities like pneumonia and tuberculosis, Aryan Gulati, a class XII student of Delhi Public School, RK Puram has developed a machine learning-based web application called LungAI.
The website can have an accuracy of over 90% and gives detections within three-five seconds of uploading a chest X-Ray or CT Scan. The website has the option of sending the detection along with the image to various doctors and hospitals online by using an automatic messaging system. This is in case the user wishes to get a second opinion as well as the option of contacting hospitals in the vicinity. Or in case they are looking for Covid-19 test sites.
“I had entered this software in the Aatmanirbhar Bharat Ideathon organised by the HRD Ministry and have been selected as the winner in the Sustainable Environment category for my project LungAI: A Deep Learning based Digital Platform to Detect and Predict Covid-19, Lung Cancer and Other Lung Abnormalities in the medical and pharmacy sector. I am the only student at 17 who has been selected as one of the five national winners among five categories of the Ideathon and will be awarded with a prize of Rs 2 lakh to implement my idea at the national level with the Government of India,” says Aryan.
The class XII student is, at present, in dialogue with Indian Council of Medical Research (ICMR) representatives to analyse his project and provide assistance to validate the same through further testing, depending on which it may be used as one of the first Artificial Intelligence-based Covid-19 detectors to further coronavirus testing in India.
