Kaushik Kunal Singh of Grade 10, whose project “The Plant Doctor: An Artificial Intelligence Based Collaborative Platform for Plant Disease Identification and Tracking” was chosen in the Senior Computer Science category.
Plant disease control is essential for healthy and reliable food production, preservation of natural resources and economic well-being of farmers. For instant identification of plant diseases and deficiencies, we introduce ‘The Plant Doctor’, a mobile app for farmers that uses state-of-the-art Artificial Intelligence to diagnose foliar symptoms. It also tracks outbreaks using disease density maps, with a simple intuitive interface for the common user. The Plant Doctor uses cloud-based Convolutional Neural Networks (CNN), a deep learning model that has recently achieved great performance in image recognition. Images of plants are captured and uploaded by users and are immediately diagnosed. To progressively improve diagnosis accuracy, user uploaded images are continually added to the training dataset of the CNN, creating a social collaborative platform for farmers. The disease density maps are rendered from the cumulative knowledge of diseases and their occurrence location.
Samyukta Shrivatsa of Grade 11, was selected for her project “Decentralizing Disaster Risk Reduction – a novel Monte Carlo approach to identifying vulnerabilities in urban planning” in the Senior Environment category. It uses a set of mathematical algorithms (called Monte Carlo Algorithms) to analyze a specific locality and find the possible natural disasters that could affect the area, it also provides a model of the course of the natural disaster, and helps identify areas that will be specially affected as well as ‘safe locations’. The model runs on an easy to use app ‘My Bhumi’ and was inspired by the reports of flooding in Bangalore, Chennai and Mumbai.
While Sreekari Pingali of Grade 5 qualified for her project “Stray Doggy” in the Junior Environment category.
There are an estimated amount of 30 million stray dogs in India, the number increasing by the day. These stray dogs are a health menace to themselves and to us. They suffer from lack of food and get sick as they are forced to eat garbage. The number of sterilized dogs is very few, therefore they are multiplying in number. The number of adoption centers are very few, and this makes it harder for stray dogs to find a home. These are the reasons why she decided to make an innovative approach toward resolving this problem.
Her project Stray Doggy has three different ways one can help identify stray dogs with ease.
1. A simple mobile app that allows anyone to take a picture of a stray dog and upload it on a website which shows pictures and locations of stray dogs on a map of your city.
2. A Dog Face Recognition system that helps identify if the same dog appears in different pictures and locations. This also helps dog sterilization centers to track dogs they have sterilized.
3. Design a simple durable Dog Collar which is cheap and that can be easily be detected by a camera. The collar can be used to identify and track sterilized dogs.
These 3 students have all qualified for the INSEF which is the Indian qualifying fair for the International Sustainable World Energy-Environment-Engineering Project (ISWEEEP) Olympiad held in Texas, and the GENIUS Olympiad held in New York.
It’s also the qualifying fair for the International Environment Sustainability Project Olympiad (INESPO) in Holland. We wish them every success on their future endeavours!
Seen below are Sahithi Pingali (Grade 12) who spearheaded the project under Inventure faculty, Ms Payal Sharma’s supervision, along with Rahul and Samyukta.