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Presenting at MIT URTC 2025: Advancing AI for Smarter Semiconductor Manufacturing
This October, I had the incredible opportunity to present my research poster, “Enhancing Failure Detection in Semiconductor Manufacturing using Balanced Random Forest Model,” at the MIT Undergraduate Research Technology Conference (URTC) 2025 — one of the world’s premier venues for undergraduate research in science, technology, and engineering. The reason why I chose this topic… Read ⇢
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EcoDRIFTER at Genius Olympiad 2025, RIT, USA
The GENIUS Olympiad was held at the Rochester Institute of Technology (RIT), USA. Upon arrival, we received our identity cards and were allocated our rooms for the duration of the event. The following day, we were given a designated time slot to set up our projects. I began preparing my… Read ⇢
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Sustainable Agriculture practices in Haryana
The report analyzes Haryana’s agriculture, focusing on the impact of the Green Revolution and water usage due to over-cultivation of wheat and rice. It suggests alternatives, including crop diversification, AI-based farming methods, and dietary changes to mitigate environmental issues. Government policy support is essential for sustainability and market dynamics. Read ⇢
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Overcoming Challenges in Fusion Energy Development
The post discusses the potential of nuclear fusion as a sustainable energy source compared to fossil fuels and nuclear fission. With an expected 20% rise in energy demand by 2040, fusion offers immense energy potential and various applications, from space travel to medical treatments. However, technical and socioeconomic challenges remain,… Read ⇢
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Step-by-Step: Training YOLOv8 with Autodistill for EcoDRIFTER
The EcoDRIFTER project involves floating plastic detection using machine learning, specifically training the Yolo V8 algorithm through Roboflow’s Autodistill. This summary outlines the setup process, including Jupyter and Python installation, dataset preparation, and model training on Raspberry Pi, with detailed instructions for each step. Further connection details will follow in… Read ⇢
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Learnings from Stockholm Junior Water Competition 2.0
I want to share that my project EcoDRIFTER was shortlisted for the national Stockholm Junior Water Prize. This prestigious competition fosters innovative solutions in water conservation. This journey involved significant preparation, resulting in valuable insights from expert judges. EcoDRIFTER aims to autonomously clean irrigation canals, offering an efficient waste collection… Read ⇢
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Analysis of water quality supplied to Rewari through Jawahar canal
This Sunday, I revisited the Jawahar Pump House for my EcoDRIFTER project, expanding my study of the water quality and plastic waste problem. The canal, vital for irrigation and drinking water, is increasingly contaminated, especially during monsoons. I’ll continue monitoring, assess microplastics, and deploy EcoDRIFTER for waste removal. Read ⇢
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Creating Autonomous EcoDRIFTER using Raspberry Pi
It has been a long time since I published my last article. I was too busy with my 9th grade exams and then preparing for the APs and some competitions. I have good news to share , EcoDRIFTER has been shortlisted as a finalist for many national and international projects.… Read ⇢
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Testing Ecodrifter 2.0 in Yamuna & Jawahar Canal
In the past weeks, I’ve tested the Ecodrifter 2.0 for plastic cleanup in various water bodies, learning about necessary improvements. Initial tests revealed challenges with sewage and debris. Key observations included the need for robust propellers and better maneuverability. Next steps involve upgrading the propeller and refining the design for… Read ⇢
