The increasing demand for reliable power sources has made diesel generators essential in various industries. However, traditional monitoring methods often rely on manual inspections, resulting in inefficiencies, unplanned downtimes, and higher operational costs. This project proposes a digital monitoring system for diesel generators that leverages advanced sensor technologies and real-time data analytics to overcome these challenges. The system will utilize Internet of Things (IoT) devices to collect key operational parameters, such as fuel levels, temperature, vibration, and performance metrics, enabling comprehensive (...) monitoring of generator health. By integrating machine learning algorithms, the system will analyze historical and real-time data to predict potential failures and optimize maintenance schedules, shifting from reactive to proactive management. A user-friendly interface will allow operators to visualize generator performance and receive instant alerts for detected anomalies, enhancing decision- making processes, reducing downtime, and lowering maintenance costs—ultimately increasing the reliability and efficiency of power supply. Additionally, the system facilitates remote monitoring, providing continuous oversight regardless of location. This project not only aims to enhance the operational efficiency of diesel generators but also lays the groundwork for smarter energy management solutions in the future. The successful implementation of this digital monitoring system could serve as a model for similar applications across various sectors, contributing to sustainability and operational excellence in energy management. Through this innovative approach, we aim to ensure diesel generators operate at optimal performance levels while minimizing environmental impact. Keywords. Diesel Generators, Digital Monitoring, IoT Devices, Real-time Data Analytics, Machine Learning. (shrink)

The lack of access to quality education in rural areas presents a critical challenge, with students in these regions facing significant barriers such as limited educational resources, a shortage of qualified teachers, and inadequate infrastructure. This disparity leads to a substantial gap in learning opportunities compared to urban counterparts. To address this issue, we propose the development of an edtech platform that provides accessible online courses, assessments, and educational materials tailored for rural students. The platform is designed to offer high-quality (...) learning resources, enhance teaching support, and enable students to overcome the constraints posed by their environment. By utilizing digital technologies and cloud-based delivery systems, the solution aims to improve educational outcomes, reduce the urban-rural divide, and empower students in rural areas to reach their full potential. The key results of the study suggest that the implementation of such an edtech platform can have a transformative impact on rural education by providing equitable learning opportunities. The platform's ability to deliver comprehensive, easily accessible content can significantly enhance the quality of education in underserved regions. This research highlights the importance of leveraging technology to bridge educational gaps and promote inclusivity in education across rural and urban landscapes. (shrink)

This project explores the design and implementation of an Automated Street Lighting System using the Internet of Things (IoT). The system aims to enhance urban lighting efficiency, reduce energy consumption, and improve public safety by employing smart sensors and IoT technology. The system's primary components include motion sensors, ambient light sensors, and IoT controllers, enabling dynamic lighting adjustments based on real-time environmental data. The proposed system is designed to operate autonomously, detecting pedestrian and vehicular movement to activate streetlights only when (...) needed. The project demonstrates significant energy savings and operational efficiency compared to traditional street lighting systems. By utilizing energy-efficient LED lights and integrating renewable energy sources, the system further reduces the carbon footprint, contributing to sustainability goals. This study illustrates the potential of IoT-enabled street lighting to transform urban environments, offering a scalable and cost-effective solution for modern cities striving for smarter, safer, and more sustainable infrastructure. (shrink)