Abhiram Godavarthy is a student at American High School in the United States. He gained valuable experience through Stanford University’s Pre-Collegiate Summer Institutes. There, he applied mathematical concepts such as linear algebra, multivariable calculus, and statistics to optimise AI algorithms.
His work involved several machine learning techniques. These included supervised, unsupervised, and reinforcement learning. He used Python to develop AI models.
Abhiram also interned with the Math Science Nucleus Environmental Programme. He helped develop engineering solutions to improve water flow at Tule Ponds. In addition, he explored composting methods to reduce electricity usage at Masonic Home and California Nursery.
Furthermore, Abhiram collaborated with the City of Fremont to address soil degradation at Stivers Lagoon. The project involved reintroducing native plants and beneficial bacteria.
Research on Using NLP to Identify Diseases
Abhiram’s research paper, “Leveraging Natural Language Processing to Identify Diseases Given Symptoms,” was accepted for presentation at the MIT Undergraduate Research Technology Conference (MIT URTC 2024) in Massachusetts.
The conference is organised by MIT students in partnership with IEEE. It provides a platform for student-led research and networking.
Congratulations to Abhiram on this outstanding achievement!
Ready to explore research in artificial intelligence and healthcare?
Discover how you can turn your academic interests into an original research project with CCIR Academy.
Download the CCIR Research Programme Prospectus to explore our 170+ research areas, learn more about our professor mentors from leading universities, and discover CCIR’s research programmes, student outcomes, and application process.
