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Intelligent Composite 3D Printing Using AI and In-Situ Monitoring

  Introduction Composite 3D printing is rapidly emerging as an advanced manufacturing method for producing lightweight, high-strength, and geometrically complex components. However, achieving consistent quality in composite additive manufacturing remains challenging due to variations in fibre distribution, temperature, bonding, porosity, and deposition conditions. Intelligent Composite 3D Printing addresses these challenges by integrating Artificial Intelligence, Machine Learning, and In-Situ Monitoring directly into the printing process. This combination enables the manufacturing system to monitor component quality in real time, detect defects, and automatically adjust printing parameters. What is Intelligent Composite 3D Printing? Intelligent composite 3D printing is an advanced additive manufacturing approach in which composite materials are printed using a digitally controlled process supported by sensors and AI-based decision systems. Composite feedstocks may include: Carbon-...
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Carbon-Negative Concrete: Building the Future Without Harming the Planet

  Introduction Construction can never be completed without concrete. Whether a building, an educational institution or any other structure is involved, concrete will always be present because of its strength, durability and low cost. However, have you ever thought about the environmental impact that the production process involves? Ordinary Portland Cement (OPC) forms the largest proportion of concrete. OPC manufacturing causes the release of a great amount of carbon dioxide (CO₂) in the atmosphere. About 7–8% of the CO₂ in the world emanates from cement manufacturing. Given that one of the greatest challenges being faced today is climate change, research and engineering are exploring more sustainable ways of handling the challenge. Carbon-Negative Concrete, on the other hand, is one of the latest sustainable innovations of constructing structures. Unlike ordinary concrete, carbon-negative concrete reduces but absorbs carbon in its manufacturing process. Why Do We Need Carbon-Negat...
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AI-Driven Quantum Computing: The Future of Intelligent Computation

  Description: Artificial Intelligence (AI) and Quantum Computing are two revolutionary technologies shaping the future of computing. AI enables machines to learn, reason, and make intelligent decisions, while Quantum Computing uses the principles of quantum mechanics to solve highly complex problems much faster than classical computers. Traditional computers process information using bits that exist as either 0 or 1, whereas quantum computers use qubits, which can represent multiple states simultaneously through superposition and entanglement. This unique capability allows quantum systems to perform many calculations at the same time, significantly improving computational speed for specific tasks. The integration of AI and Quantum Computing has the potential to transform industries by solving problems that are difficult or impossible for conventional systems. Quantum computing can accelerate machine learning, optimize large datasets, and improve decisionmaking with greater accurac...
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Iot-Based Autonomous Vegetable Picking Machine

  ABSTRACT Agriculture today is rapidly embracing automation and IoT technologies to boost productivity and make farming smarter. This project introduces an Automated Vegetable Picker Machine that uses IoT and AI to detect and harvest ripe vegetables with better efficiency. The system combines an ESP32-CAM module for image capture, a color sensor for ripeness detection and a 4-DOF robotic arm to carefully pick the vegetables without causing damage. A lightweight AI model, trained using platforms like Google Teachable Machine or TensorFlow, is deployed on the ESP32-CAM to classify vegetables. Ripeness in real time. Once a ripe vegetable is identified, the Node MCU processes the data and sends commands to the robotic arm to carry out the picking action with precision. The entire setup is connected to a mobile application via IoT, allowing farmers to receive live updates and notifications on harvesting progress. This level of automation reduces dependence on manual labor, speeds up th...
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AI Based Portable ECG Monitoring System With Automatic Arrhythmia Detection Using Deep Learning

  INTRODUCTION: In the current generation, heart problems are the leading cause of death and this project provides an effective solution for it. Abnormal heart rhythms, known as arrhythmia, can be easily detected using sensors. In conventional hospital ECG machines, electrode placement causes high signal noise and skin irritation to patients. To overcome these issues, this AI-based portable system is proposed, where a sensor placed on the chest can efficiently monitor heartbeats and identify cardiac diseases. Need for AI in healthcare system At present, there is a huge need for this type of portable ECG system in the healthcare sector. Most rural hospitals do not have expensive 12-lead ECG machines and there are no cardiologists available, so patients don't get diagnosed on time. For ICU patients and old age people at home, continuous heart monitoring is very important to find arrhythmia early and avoid sudden death. So we need a low-cost and portable device which can check a heart...
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Organic Farming: A Sustainable and Eco-Friendly Approach to Agriculture

  ABSTRACT: By preserving soil organic matter and promoting beneficial microorganisms, organic farming helps improve soil structure, water-holding capacity, and long-term land productivity. In addition to environmental benefits, organic farming supports human health and rural livelihoods by producing safe, chemical-free food and reducing farmers' dependence on expensive external inputs. It also promotes biodiversity, conserves natural resources, and minimizes pollution of soil and water bodies. Organic farming offers a sustainable alternative to conventional agriculture and is essential to attaining food security, ecological balance, and sustainable agricultural development, despite potential drawbacks including lower initial yields and increased labour requirements. INTRODUCTION: Using natural processes, biodiversity, and ecological balance instead of artificial fertilizers, pesticides, genetically modified organisms, or growth regulators, organic farming is a sustainable agricult...
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