NEL-BOT

Revolutionizing Ocean Cleanup with Autonomous Technology

NELBot is an autonomous submarine robot designed to combat ocean pollution by collecting underwater debris efficiently and sustainably. Equipped with the YOLOv5s machine learning model, it accurately detects and differentiates trash from marine life, minimizing ecological harm. Using robotic arms for debris on the ocean floor and baskets for floating waste, NELBot optimizes energy use and operational duration. Constructed from carbon fiber reinforced polymer (CFRP), recycled metals, and bio-based materials, it withstands harsh underwater conditions while reducing environmental impact. Powered by solar panels and 24V batteries, NELBot operates autonomously for extended periods, offering an innovative and sustainable solution to marine pollution.

NEL Emission Monitoring

Smart Carbon Emission Monitoring: AI-Powered Climate Action for a Sustainable Future

As climate challenges intensify, from floods to ecosystem disruptions, managing carbon emissions is crucial for mitigating environmental disasters. This project introduces an AI-powered monitoring system that provides real-time data on emission sources, activities, and total emissions from targeted regions, supporting sustainability reporting and accountability for governments and institutions. Using satellite imagery and machine learning, the system detects emissions from factories, transport systems, and industrial areas, offering precise estimates through carbon spectrum analysis. By identifying emission hotspots and tracking their impact, this tool aids in urban planning, emergency response, and policy enforcement while ensuring accountability in climate summits like COP. With a mission to reduce the 34.81 billion tons of annual carbon emissions and limit global warming to 1.5°C–2°C, this system empowers smart governance, sustainable city design, and proactive climate action to protect communities from environmental degradation.