Kongunadu College of Engineering and Technology(Autonomous)

Introduction Artificial Intelligence (AI) Agents are intelligent software systems capable of perceiving their environment, reasoning about tasks, making decisions, and performing actions autonomously. Modern AI agents combine large language models, memory, planning, and external tools to solve complex real-world problems. They are transforming healthcare, finance, education, cybersecurity, software engineering, manufacturing, and customer support by improving productivity and reducing manual effort. Architecture User -> AI Agent (LLM) -> Memory/Planning/Decision -> External Tools/APIs -> Response Working The user submits a request. The AI agent interprets the request, retrieves relevant knowledge, plans the required steps, chooses suitable actions, invokes external tools or databases when necessary, verifies the results, and returns an accurate response. Continuous learning and feedback help improve future performance. Applications AI agents are used in virtual assistants, ...

Construction Materials That Can Heal Themselves August 2026 Introduction Concrete is one of the most widely used construction materials because of its strength and durability. However, cracks can develop over time due to loading, temperature changes, shrinkage, and environmental conditions. Small cracks may gradually allow water and harmful chemicals to enter the structure, reducing its service life. Living concrete is an innovative material designed to address this problem naturally. It uses biological processes, such as bacteria or other living components, to repair cracks automatically. This technology has the potential to create stronger, longer-lasting, and more sustainable structures. Living concrete showing self-healing cracks and biological activity Evolution of Self-Healing Construction Materials Traditional concrete repair requires regular inspection, maintenance, and additional repair materials. Researchers first developed chemical-based self-healing systems to reduce these ...

  Description: Much of the software used today depends on open-source projects. These projects make source code available under licences that allow people to use, study, modify and share it according to the licence terms. Open source has become an important part of software development and also provides valuable learning opportunities for students. One of the most interesting aspects of open source is collaboration. A project may have contributors from different countries and backgrounds. People can report problems, improve documentation, suggest features and submit code. The work is coordinated through version-control systems and project guidelines. For students, this creates a chance to learn from real software. Classroom programs are useful for understanding concepts, but large open-source projects show how code is organised in practice. Students can examine documentation, issue discussions, testing procedures and contribution workflows. Figure 1: Illustrative view related...

  ABSTRACT:          In the history of agriculture, many projects have been introduced.   All of them aimed to improve our lives, the lives of farmers, or agriculture in general. Some of these projects succeeded, while others did not. In my paper, I will discuss one such project that failed-Golden rice. Golden Rice is a genetically modified type of rice designed to help prevent vision problems in young children. However, for various reasons, it did not succeed. Despite the promise of Golden Rice, it faced challenges in production, distribution, and public acceptance. These included issues with regulatory approvals, public opinion, and concerns about genetically modified organisms. Though it was created to fight vitamin A deficiency, the journey of Golden Rice was complicated. It is an interesting example of how science and society interact. INTRODUCTION:        Golden Rice is a genetically modified ric...

Introduction Unexpected equipment failure is one of the major causes of production loss in industries. Traditional maintenance methods either repair machines after failure or service them at fixed intervals. AI-Based Predictive Maintenance offers a smarter solution by predicting equipment problems before breakdown occurs. It combines Artificial Intelligence, Machine Learning, Industrial IoT, sensors, and condition monitoring to continuously assess machine health and support timely maintenance decisions. How Does It Work? Sensors installed on industrial machines collect real-time operating data such as: • Vibration • Temperature • Pressure • Motor current • Speed • Acoustic signals • Lubricant condition The collected data is processed using AI and machine-learning algorithms. These algorithms identify abnormal patterns and compare them with normal operating behaviour. When early signs of a fault are detected, the system alerts maintenance personnel before serious failure occurs. Typical...

Introduction Learning medicine is not only about reading books and attending lectures. Medical students and healthcare professionals also need practical training. They need to learn how to perform procedures correctly, safely, and confidently. But allowing a beginner to practice every procedure directly on a real patient is not always possible. A student may make mistakes while learning, and some procedures require a high level of skill. To solve this problem, healthcare education uses medical mannequins. A medical mannequin is a human-like model used to practice medical procedures. It provides a safe environment where students can learn, repeat procedures, and correct their mistakes. Mannequins are used for CPR, airway management, nursing procedures, childbirth training, emergency care, and many other applications. In the past, medical mannequins were mostly simple physical models. Today, biomedical engineering has changed them into more advanced patient simulators. Modern systems can...

  ABSTRACT A Wireless Sensor Network (WSN) for Smart Farm Management integrates multiple wireless sensor nodes across agricultural fields to monitor and manage environmental conditions in real time. These nodes measure essential parameters such as soil moisture, temperature, humidity and light intensity, transmitting data wirelessly to a central control unit or cloud server. The collected data are analyzed to provide actionable insights that support decision-making for irrigation, fertilization and crop protection. Using communication technologies such as ZigBee, LoRa or Wi-Fi the system ensures reliable long-range data transmission with low power consumption. The integration of Internet of Things (IoT) features enables farmers to remotely access data and control operations using mobile or web interfaces. This system enhances productivity, reduces human intervention and conserves vital resources like water and energy. Furthermore, automated control mechanisms-such as smart irrigati...