ISI EDEOGHON

This project presents the design and implementation of an automated waste management system utilizing an Arduino Uno microcontroller, ultrasonic sensors, and a servo motor to enhance efficiency and hygiene in waste disposal. The system continuously monitors the fill level of a waste bin using an ultrasonic sensor, which provides real-time data to the Arduino. When the sensor detects that the bin is nearing capacity or a user is present, the Arduino activates a servo motor to automatically open andclose the bin lid, enabling touchless operation and reducing the risk of contamination. Powered by a 9V replaceable battery, the system is portable and well-suited for environments with unreliable electricity supply. Rapid lid response, with positive user feedback regarding convenience and hygiene. The project highlights the potential for scalable, low-cost smart waste solutions in both urban and rural settings, and lays the groundwork for future enhancements such as IoT connectivity, renewable energy integration,and automated waste sorting for improved sustainability and resource management.

This project presents a comprehensive analysis of the deployment strategies involving serverless and non-serverless hosting infrastructure within the context of Software as a Service (SaaS) implementation. The rapid advancements in cloud computing have introduced new paradigms for hosting applications, and the comparison of serverless and non-serverless(traditional) hosting approaches has gained significant attention in recent years. This study aims to evaluate the performance, scalability, cost-efficiency, and resource utilization of both serverless and nonserverless
architectures in the context of deploying SaaS applications with an implementation in the form of an e-commerce site. The research methodology encompasses a series of experiments conducted on real-world scenarios using popular cloud platforms. Performance metrics, such as response time, throughput, and scalability, are carefully measured and analyzed. Additionally, the consumption of computing resources and associated costs are thoroughly assessed to provide a comprehensive view of the two hosting infrastructures. The trade-offs between the two approaches are discussed, and guidelines are provided to aid decision-making processes when selecting the most appropriate hosting infrastructure for specific SaaS applications. The findings indicate that serverless hosting exhibits several advantages in terms of autoscalability, reduced operational complexity, and cost-effectiveness for applications with varying
workloads. On the other hand, non-serverless hosting demonstrates better performance in scenarios with predictable and consistent demands.

This project presents a comprehensive analysis of the deployment strategies involving serverlessand non-serverless hosting infrastructure within the context of Software as a Service (SaaS)implementation. The rapid advancements in cloud computing have introduced newparadigmsforhosting applications, and the comparison of serverless and non-serverless(traditional) hostingapproaches has gained significant attention in recent years. This study aims to evaluatetheperformance, scalability, cost-efficiency, and resource utilization of both serverless andnon-serverless architectures in the context of deploying SaaS applications with an implementationinthe form of an e-commerce site. The research methodology encompasses a series of experiments conducted on real-worldscenarios using popular cloud platforms. Performance metrics, such as response time, throughput, and scalability, are carefully measured and analyzed. Additionally, the consumptionofcomputing resources and associated costs are thoroughly assessed to provide a comprehensiveview of the two hosting infrastructures. The trade-offs between the two approaches are discussed, and guidelines are provided to aid decision-making processes when selecting the most appropriate hosting infrastructure for specific SaaS applications. The findings indicate that serverless hosting exhibits several advantages in terms of auto-scalability, reduced operational complexity, and cost-effectiveness for applications withvaryingworkloads. On the other hand, non-serverless hosting demonstrates better performanceinscenarios with predictable and consistent demands.

Because of the disadvantages linked with the utilization of fossil fuels, eventually a rising interest in increasing the adoption of renewable energy systems. Nonetheless, integrating renewable energy systems into the grid poses numerous challenges concerning constancy, consistency, system operation, and power quality. Lesser hybrid renewable energy systems (HRES) are compact power systems that encompass energy sources and storage units to efficiently manage energy production and consumption. Real-time monitoring of HRES is crucial as it provides precise data for the system operator to assess overall performance and detect any anomalies. In this study, an IoT-based design for HRES is presented, comprising a wind turbine and a photovoltaic system. The suggested design comprises four distinct layers: power, data collection, communication network, and application. Given the wide display of communication technologies available and the lack of a standardized communication framework for HRES (Hybrid Renewable Energy Systems), this study introduces communication models specifically customized for HRES. The monitoring factors are grouped into three categories: electrical, grade, and environmental data. Additionally, the research incorporates network modeling and mockup, with special responsiveness to vital features like network arrangement, link capacity, and latency, all of which are widely analyzed and discussed. Besides, the collective interest in renewable energy systems is driven by the awareness of the downsides connected with the widespread use of remnant fuels, such as pollution and climate change. Governments, industries, and individuals have recognized the urgency to transition on the way to cleaner and more viable energy sources. As renewable energy systems become more prevalent, the integration of these systems into the existing power grid becomes a complex and multifaceted challenge. The successful integration requires addressing issues related to structure operation, ensuring steadiness and consistency, and continuing high power value to meet the demands of consumers. Small hybrid renewable energy systems (HRES) have emerged as a viable solution to harness energy from multiple sources and manage it efficiently. These compact systems