An insatiable curiosity driven by an innate sense of wonder, combined with a profound passion for acquiring fresh knowledge, have consistently defined my character. Throughout the years, these attributes have materialized as a series of explorations into various research endeavors. The pursuit of unraveling the enigmatic secrets of our cosmos and delving into a deeper comprehension of humanity's intricacies has remained perpetually enticing and endlessly captivating for me.
2023
I successfully completed the 'Introduction to Machine Learning' course, receiving an 'Excellent' grade, under the guidance of Program Director Prof. Jamie Fairclough. During this program, I developed 18 advanced machine-learning models dedicated to predicting students' academic success and dropout rates. My research contributions extended to presenting a poster at a Research Symposium, where I shared my findings. Furthermore, I added to the academic discourse by publishing original research and a review article in indexed journals.
2023
I actively participated in a project focused on solving real-world problems through innovative thinking. During this initiative, I earned an A+ grade and received three Excellence Awards: "Best Project," "Best Idea," and "Best Prototype” for my project 'Sevahaar'. The concept behind 'Sevahaar' is an innovative app that utilizes AI to optimize restaurant inventory, reduce food wastage, and support the community by distributing excess food to those in need. This experience aligns with the broader mission of promoting global leadership and advancing education and learning.
This research explores the experiences of online classes and remote work during the COVID-19 pandemic across different age groups worldwide. A questionnaire was distributed to individuals of various age ranges, and the results were statistically analyzed. The findings suggest that online learning and remote work have a promising future, impacting the way people approach education and employment.
http://www.ijss-sn.com/uploads/2/0/1/5/20153321/08_ijss_sep_23_oa06_-_2023.pdfThis research, conducted during a summer program with Stanford University, focuses on addressing the critical issue of student dropout in higher education. By employing various machine learning techniques and a comprehensive dataset, the study aims to proactively identify at-risk students, enabling timely support and intervention. The findings underscore the potential of machine learning in promoting student success.
http://www.ijss-sn.com/uploads/2/0/1/5/20153321/14_ijss_sep_23_oa12_-_2023.pdfThis paper offers a comprehensive analysis of the factors crucial for the successful application of machine learning in calculating student success rates within educational institutions. It emphasizes the importance of accurate and relevant data, data privacy, and careful selection of machine learning algorithms aligned with specific objectives. The paper also discusses addressing biases and the need for ongoing monitoring and refinement to ensure equitable outcomes. It aims to enhance the real-world use of machine learning for predicting student success.
https://wjarr.com/content/comprehensive-analysis-factors-influencing-real-world-application-machine-learning-studentThis article provides a brief overview of the research journey for school students, from ideation to publication. It emphasizes the significance of mentorship, online resources, and research skills. It also discusses avenues for sharing findings, such as journals and conferences. This guide is a valuable resource for young scholars to engage in research and contribute to knowledge.
https://www.ijset.in/wp-content/uploads/IJSET_V11_issue5_520.pdfThis article offers a concise overview of research opportunities and publishing avenues from a school student's perspective. It highlights the significance of curiosity, mentorship, online resources, and collaboration in research. It also discusses avenues for sharing findings, including youth journals, conferences, and local events. This guide is a valuable resource for school students looking to engage in research and make meaningful contributions to knowledge.
https://www.ijsdr.org/viewpaperforall.php?paper=IJSDR2309153
Predicting Students' Academic Success & Dropout Using Supervised Machine Learning
This research poster, presented during the Stanford Pre-Collegiate Program, explores the application of supervised machine learning to predict students' academic success and prevent dropout, offering valuable insights in the field.
Biodegradable Decomposers of Plastic
My team's research poster on biodegradable plastic decomposers achieved third place at the 'Eureka Verse' competition hosted by the Scottish High School.
My project was dedicated to the exploration of diverse transportation methods, with a strong focus on their pivotal role in establishing an environmentally sustainable ecosystem and mitigating pollution. It encompassed the study of electromagnetic systems, the integration of solar technology in vehicles, particularly solar boats for river cleaning, and the development of an inventive solution to address vehicular pollution. The project's recognition with a second prize at the national level underscores the significance of innovative and eco-conscious transportation solutions that contribute to a greener, cleaner future.
My project focuses on the mathematical aspects of a smile, with a specific emphasis on the embedded golden ratio. I had the honor of presenting this research at an online event hosted by Cambridge University Press, shedding light on the intriguing connection between mathematics and human expressions.
Conceived for a school science exhibition, this project delves into futuristic travel technologies, including magnetic levitation-based trains (Maglevs), Hyperloops, and SkyTrans. It explores their societal implications and potential integration. In addition, the project includes the design of a versatile 'cobot' with applications in defense. Notably, I represented our school nationally with this project, emphasizing its significance in presenting innovative ideas for the future of travel and technology.
I crafted a tenacious hologram system for Chandrayaan 3, presented at a school interschool event. Complementing this, I also developed interactive posters and models, providing an immersive exploration of the Chandrayaan mission's significance and scientific marvels. These projects gave audiences a captivating educational experience, making science and technology come alive.
In my sixth-grade year, I designed and constructed a Robotic Hydraulic Arm and a Solar Boat system for a school science exhibition, ultimately winning top honors. These projects exemplify transformative engineering, highlighting the versatility of hydraulic systems in machinery with the Robotic Hydraulic Arm and demonstrating the clean and sustainable potential of solar technology with the Solar Boat, particularly in river cleanup efforts. Notably, I proudly represented our school at the national level, as the youngest participant, underscoring the significance of these projects in showcasing the clean and efficient technologies of the future.
I created a Rubik's Cube Solver that seamlessly combines intricate design with cutting-edge technology, employing advanced color sensors and a precisely calibrated motor array, all custom-programmed to solve the Rubik's Cube efficiently. This project highlights the fusion of art and science in robotics, providing a captivating demonstration of puzzle-solving precision using Lego Mindstorms.
