Hardly a Google Science Fair goes without Indian students or Indian-origin students making it in the top 15 contenders selected worldwide and last year Odisha student Lalita Prasida won the top prize.
This year two Indian students, one NRI in Saudi Arabia and four Indian-origin students in the US are among the top 16 finalists for the 6th annual “Google Science Fair 2016” and one of them is Shriyank K. from Banglore National Public School (NPS), who will be a strong contender with his unique and futuristic project on memory recollection framework.
Shriank’s project “KeepTab: A novel way to aid memory with deep learning algorithms” is a wearable device that uses a cloud-based deep learning framework to help humans to recall memory of the location they had visited in the past with its day-to-day objects.
Apart from Shriyank, Mansha Fatima,15, from Sadhu Vaswani International School, Hyderabad is competing for the coveted prize with her unique rice field water monitor mobile phone system. Her project “Automated Water Management and Monitoring System in Paddy Fields” seeks to help farmers monitor water levels in rice paddy fields for the best possible crop yields.
Fatima’s work ensures an automated system — the opening and closing of the reservoir and field gates, checking the age of the plant and corresponding optimum water level required for that period of plant age. Now farmers can monitor the water level in the field by using their mobile phones as they constantly receive alerts on the field, thanks to Fatima.
The US-based Indian origin student Nikhil Gopal, 15, has submitted a project titled, “Point of Care Testing for Malaria Using
a Smartphone and Microfluidic ELISA”. He has come out with a simple and inexpensive way to track progression of the malaria parasite. It is a portable system to detect malaria proteins using ELISA (enzyme linked immunosorbent assay).
Nikhil’s system uses a smartphone and a microfluidic disc which uses centrifugal force instead of electricity to mix reagents. The microfluidic disc uses 1/100th the volume of a standard ELISA resulting in cheaper reagent costs and it is designed for rural settings without access to expensive labs and costs under $10 per sample.
Another Indian-origin student Anushka Naiknaware, 13, has submitted a project on “Fractal inspired Chitosan and Carbon Nanoparticle Based Biocompatible Sensor for Wound Management.” The project seeks to create an inexpensive, biocompatible, and reliable sensor which can detect and monitor moisture level in the wound dressing. This approach uses chitosan and carbon nanoparticles to effectively obtain all the required features.
Nishita Belur, 13, has submitted her project on “Detection of Metal Surface Defects Using Laser Light Reflection” which employs a simple and cost efficient solution to detect sheet metal surface defects using laser light reflection. Typical defects are dents, bumps and waviness.
Nishita has used the Law of Reflection of Light. A ray of light falls on an opaque surface, it reflects and so is a cohesive laser light beam that shines on the surface of a metal sheet. The reflected beam is collected and analyzed. When there are defects on a metal surface, the scattering of reflected light increases. This design uses a photo-diode to capture reflected light and convert the received light to an equivalent current.
Anika Cheerla, 14, has developed her project on “Automated Prediction of Future Breast Cancer Occurrence from Non-Cancerous Mammograms”, which is an automated model that can accurately predict the probability of an individual developing breast cancer in the future from her screening mammograms.
The Google Science Fair carries $50,000 scholarship and the contenders can travel with their families to Mountain View city located in Santa Clara County, California, where the final winner will be announced at a ceremony on September 27.
Another Indian boy Zain Ahmed Samdani, an NRI from Saudi Arabia has also been selected for Global Finalists. His project is on “ExoHeal: Utilizing neuroplasticity to provide rehabilitation to stroke patients and cure hand paralysis.”
The aim of the project is to design and develop a precise, compact, light-weight and a portable solution, with independent motion on each phalange in order to potentially cure hand paralysis and provide rehabilitation to stroke patients and those with muscular degenerative diseases.