Meet The Young School Children Winning CSIR Awards For AI Innovations
The premier industrial R&D organisation in India — the Council of Scientific & Industrial Research (CSIR), has announced the results of the CSIR Innovation Award for School Children (CIASC) – 2021. Started in 2002 on the occasion of World Intellectual Property Day, CIASC is an annual national competition to harness school children’s creative and innovative spirit. World Intellectual Property Day is celebrated throughout the world on the 26th of April every year. CSIR had invited students to send their original creative technological and design ideas in the form of proposals for the competition. Any Indian school going student up to Class XII and below 18 years of age is eligible to participate every year. The complete list of students winning the award, along with their projects, can be found here. Young students across the country have showcased their AI-based technology and winning prizes for the innovation as well. Hearty Congratulations to the Winners of the CSIR Innovation Award for School Children-2021. The Awards will be given away today at the #80thCSIRFoundationDay Function. Join us live today from 10 a.m. onward: https://t.co/75mQ3604Fuhttps://t.co/JJJdimcMn3 pic.twitter.com/F4kzKzzqTJ— CSIR, India (@CSIR_IND) September 26, 2021 Let’s have a quick look at these innovations. Third prize to Arijit Das for Agri AI: Detection and Control of Pests from Hem Sheela Model School, Jawaharlal Nehru Avenue, Durgapur, West Bengal. Talking to Analytics India Magazine, Arijit said: “CSIR Innovation Award for School Children (CIASC) has been a dream for us, young innovators, to participate in. I am super pleased to have gotten this opportunity to participate and move on to win the award. This will truly become an everlasting memory that I will never forget.” Fourth prize to Ashlyn Reni Verghese and Hanna Sosa Chikku for Smart Dog, an AI-based security system from Rajagiri Public School, South Kalamassery, Kalamassery, Ernakulam, Kerala. Fifth Prize to Sam Jeffrey for AI Farm Assistant with Convolutional Neural Network, Flutter and Angular from Sivakasi Nadars Matriculation Higher Secondary School, STC Road, Ellis Nagar, Madurai, Tamilnadu. Jeivish J. for Agricultural Seed Sowing Robot from SBIOA International School, Polachery Main Road, Chennai, Tamilnadu.Prerit Rathi for Naina – AI-based navigation stick from Lal Bahadur Shastri School, Sector-3, R.K. Puram, New Delhi. AI projects by students Agri AI: Detection and Control of Pests Arijit Das developed an AI-based solution for pest detection using learning techniques. The system enables correct usage of chemicals in farming and thereby helping to minimise soil and water pollution. The system further helps in preventing harmful diseases due to unchecked spraying of unwanted chemicals. This technique is based on the features and characteristics of being a warm-blooded animal. The technique will help recognise whether the pest is present or where or not to spray insecticides and pesticides. Smart Dog, AI-based security system Ashlyn Reni Verghese and Hanna Sosa developed an AI-based system, just like a pet dog, to keep an eye on whatever is happening inside the house. The camera fitted in the eyes will guard the house, and sensors in the nose will protect a house from gas-leak accidents and conflagrations. The system thus developed will sanitise the hands of the user as well. The qualities of a dog, like a good sense of smell and eye vision, are featured in the ‘smart dog’ to prevent theft, enable self-protection, and protect from accidents, as per the CSIR tweet. AI-based agricultural farm assistant Sam Jeffrey M. has designed an artificial intelligence-based agricultural farm assistant for farmers for target-based care of crops. The system equips them to use pesticides and fertilisers wherever they are in need instead of using them over the entire agricultural area. This will ultimately lower down the production cost for the farmers, making it more profitable. Moreover, the system is capable of capturing tons of data. The data thus captured will further help the data science community to work and develop farm-based precise technologies in the future. Agricultural seed sowing robot prototype Jeivish J. has designed a seed-sowing robot prototype to overcome the challenges in the agriculture process, starting from preparing the land, cultivation and harvesting. To overcome the issues faced by Indian farmers, seed sowing robots automate the seed sowing process with low-cost technology. The current practices involving manual labour and mechanical seed sowing processes using tractors and heavy pieces of machinery are time-consuming. Naina, AI-based navigation stick Prerit Rathi has developed a portable device that can be attached to any cane for the visually impaired and provide them with information about the surroundings using advanced real-time object detection algorithms at low cost. Naina can detect and recognise an object in the surrounding with considerable accuracy by closely imitating the human mind. After recognising the object, it alerts the user about the object in front of him/her using the inbuilt speaker module. The platform by CSIR provides the young talented students in the country to showcase their scientific skills, bring innovative ideas, thereby sowing the seeds of innovation at such an early stage. The initiative has the potential to encourage students across the length and breadth of the country to try, fail, succeed, learn and bring innovations.
Started in the year 2002 on the occasion of World Intellectual Property Day, CIASC is an annual national competition to harness school children’s creative and innovative spirit.
Started in the year 2002, CIASC is an annual national competition to harness school children's creative and innovative spirit.
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["AI", "artificial intelligence", "neural network", "data science", "analytics", "Ray", "RAG", "object detection", "R", "Go"]
Kumar Gandharv, PGD in English Journalism (IIMC, Delhi), is setting out on a journey as a tech Journalist at AIM. A keen observer of National and IR-related news.