Volume 10 | Issue 8 |

 Abstract

Urbanization and industrialization increased population density in cities and consequently leads to severe indoor and outdoor air pollution. As a result of these trends, the issue of sustainable and healthy indoor and outdoor environment has received increasing attention. Various air filtration techniques have been adopted to optimize indoor and outdoor air quality. Air filtration technique can remove air pollutants and effectively alleviate the deterioration of indoor and outdoor air quality.A comprehensive review on the synergistic effect of different air purification technologies, air filtration theory, materials and standards. It evaluated different air filtration technologies by considering factors such as air quality improvement, filtering performance, energy and economic behavior, thermal comfort and acousticimpact. Current research development of air filtration technologies along with their advantages, limitations and challenges are discussed. Air pollution has become the world's single biggest environmental health risk, linked to around 7 million deaths in 2012 according to a recent World Health Organization (WHO) report. The new data further reveals a stronger link between, indoor and outdoor air pollution exposureand cardiovascular diseases, such as strokes and ischemic heart disease, as well as between air pollution and cancer. This project aims to drive the future of air filtration technology research and development in achieving sustainable and healthy building ventilation

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Outdoor air filtration system

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Fertilizers and pesticides must be used in agricultural fields to increase crop yields. The biggest disadvantage of manual spraying is that it can cause a variety of health problems in the person spraying the fertilizers, such as respiratory ailments, cardiac diseases, and so on. When your skin is exposed to pesticides, dermal exposure can occur. Irritation or burns may result. We came up with the idea of an autonomous fertilizer/pesticide sprayer using a drone to prevent this risk and spray the fertilizers/pesticides consistently. This system is designed for activities involving a high danger of human entry, such as some criminal cases, and might be particularly useful in the military for spying purposes. The system engages a robotic arm as well as a robotic vehicle to not only access a high-risk region but also to carry whatever object it desires. The system also contains a night vision camera, which allows viewing of what is captured not only during the day but also at night. The entire system is managed through an Android application. Through an android device application, the system delivers commands to the receiving circuit mounted on the vehicle

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PESTICIDE SPRAYER DRONE WITH BOMB DEFUSING ROBOT

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Transportation technology is becoming increasingly vital in today's world, and it must be developed over time. There are so many road expansions during development to counter the substantial increases of motorised vehicles. The growing number of automobiles has resulted in issues such as road damage and a lack of road upkeep. Lack of awareness about the importance of repairing damaged roads, like as potholes, makes it more unsafe for riders to drive without causing injury. These issues are becoming increasingly alarming as the number of accidents and fatalities continues to rise. The pothole detecting sensor can be employed on the automotive system to reduce the risk of an accident. The concept of a pothole detecting sensor was borrowed from the proximity sensor system in this study. This work develops a low-cost sensor with the same quality as the present technology. Despite the use of low-cost sensors, maintenance is similarly low-cost and straight forward. It was revealed as a result of this research and investigation that the distance between the sensor and the observed pothole should be less than 4%

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 Keywords

IoT, Mqtt, Pothole

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Every system is now automated in order to meet new problems in today's environment. Automated systems require fewer manual procedures, allowing for more flexibility, reliability, and accuracy. As a result, in order to give superior performance, every industry chooses automated control systems, particularly in the field of electronics. Mobile phones are being utilized as a remote control for a three-phase motor pump that is used in agriculture. Due to India's frequent power outages and irregular voltage levels, efficient water distribution to the fields is required in all-weather circumstances. This is accomplished by transferring information in the form of messages between the user phone and GSM. This system is made up of a microcontroller that is linked to a GSM phone and a motor. This method can be used to operate any gadget in regions where there is no access to the internet. However, in this new architecture, the system does not need to be reprogrammed to manage a different appliance without modifying the microcontroller's programme. The user will be able to operate the appliance by making a call or sending a message from his phone. The system created with the Microcontroller in this work incorporates over-current protection, dry running, and single phasing. It is predicted that this

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GSM, RELAY, ARDUINO

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Creative Commons Attribution 4.0 and The Open Definition

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Skincancerisconsideredasoneofthemostdangeroustypesofcancerandthereisadrasticincreaseintherateofdeathsdue to the lack of knowledge on the symptoms and its prevention. In this paper, a dataset which includes two types of cancerouslesionimagesi.e.,melanomaandnevusandalsonon-cancerouslesionimagesarecollected.Thentheseimagesareputthroughpre-processingandsegmentation.Theseprocessedimagesarethenclassifiedasmelanoma,nevusornon-cancerousbyusingthreetypesofdeeplearningalgorithmi.e.,CNN(ConvolutionalNeuralNetwork),RNN(RecurrentNeuralNetwork)andLSTM(LongShort-Term Memory) andtheiraccuracyiscompared

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Melanoma, Nevus,ConvolutionalNeuralNetwork,RecurrentNeuralNetwork,LongShort-TermMemory

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A robot is a sort of automated machine that can do specified jobs quickly and precisely with little or no human assistance. This is a two-in-one project that allows you to control a robot using either voice commands or simple gestures. It basically describes how to operate a robot with speech or gestures. Separate portions of the robot control circuit are dedicated to voice and gesture. Each part has its own set of sensors. An electret microphone serves as the sound sensor in the voice part, while an accelerometer serves as the sensor in the gesture mode

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 Keywords

Ardunio;ESP;Gyroscope;Camera; Robot; Motor drivers

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Creative Commons Attribution 4.0 and The Open Definition

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The rapid growth of the Internet of Things (IoT) has enabled the development of innovative smart home automation systems that enhance comfort, safety, and energy efficiency. Conventional systems often rely solely on cloud-based platforms or high-cost commercial solutions, which can limit accessibility and usability for common households. This paper presents an IoT-based smart home automation system that integrates Arduino microcontroller, ESP32, Adafruit IO cloud services, and Bluetooth-based voice assistance to provide a cost-effective and hybrid solution. The system is designed to control multiple household appliances including a tube light, bulb, and fan using relays, with dual modes of operation: cloud monitoring via ESP32 with Adafruit IO and local voice commands via HC-05 Bluetooth module connected to Android and iOS applications. The Adafruit IO platform enables real-time monitoring of device status with timestamp logging, ensuring transparency and energy usage tracking, while Bluetooth-based voice control enhances accessibility and usability for all age groups. The proposed system demonstrates efficient performance, low latency, and user-friendly interaction, making it suitable for smart homes, elderly care, and energy management applications.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IoT, Smart Home Automation, Arduino, ESP32, Adafruit IO, Bluetooth HC-05, Voice Assistance, Home Appliances.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Artificial intelligence (AI) has emerged as a game changer in the banking industry, changing traditional banking operations and service delivery paradigms. The integration of AI technologies such as machine learning, natural language processing, and data analytics allows banks to increase operational efficiency, risk management, and customer experience while also ensuring regulatory compliance. This study investigates the impact of artificial intelligence (AI) on the banking sector, focusing on applications such as customer service, fraud detection, credit evaluation, and personalized banking. It also addresses the problems and ethical concerns that come with AI adoption, such as data privacy, transparency, and workforce repercussions. The report concluded that, while AI offers great prospects for innovation and competition, successful adoption necessitates strong governance, trained human resources, and responsible use.

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: Artificial Intelligence, Banking Sector, Machine Learning, Financial Technology, Digital Banking

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Creative Commons Attribution 4.0 and The Open Definition

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The architecture of teacher professional development (PD) in India must be strategically designed to meet the dual mandate of educational quality and radical inclusion, as outlined by national policy. The legislative framework, particularly the Rights of Persons with Disabilities Act (RPwD), 2016, establishes a clear expectation that schools must ensure quality education through inclusive practices. This statutory requirement necessitates a systemic framework capable of reducing barriers for all learners, thereby transcending traditional models of reactive accommodation. The Universal Design for Learning (UDL) framework serves as the most effective pedagogical blueprint for achieving this proactive, barrier-reducing approach to curriculum design.

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Designing High-Fidelity Teacher Professional Development for UDL-SEL Integration: A Strategic Roadmap for Indian Schools

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This paper presents the design and development of an AI-powered wearable smart helmet system aimed at enhancing rider safety through intelligent sensing, communication, and automation. The system is divided into two parts: a transmitter unit embedded in the helmet and a receiver unit integrated with the motorcycle. The helmet unit uses a Nordic microcontroller as the core processor, along with a pressure sensor to verify helmet usage, an alcohol sensor to detect intoxication, and a gesture sensor for hands-free call management. It communicates with the bike via an RF transmitter. The receiver unit consists of a Nordic microcontroller, ADXL sensor for bike tilt and crash detection, a relay system to control vehicle ignition, and a motor driver for prototype operation. In the event of a crash, the system activates a GSM module to send the GPS location via SMS and triggers a buzzer to alert nearby individuals. The proposed solution not only enhances rider safety but also automates critical functions such as accident response and ignition lock, making it a practical advancement in smart transportation and wearable safety technology.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Smart Helmet, Crash Detection, Alcohol Monitoring, Vehicle Lock System, Nordic Microcontroller, GPS, GSM, Gesture Control, RF Communication, AI-Powered Safety.

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Creative Commons Attribution 4.0 and The Open Definition