Volume 11 | Issue 6

 Abstract

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Outdoor Air Pollution, Air Quality Index, Public Health, Wi-Fi

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The system is designed for reading electrical energy consumed in units and in rupees to display on an LCD screen as well as in the dedicated application to the user. Owing to high electricity cost these days it becomes necessary for the consumer to know as to how much electricity is consumed to control electricity bill within his budget. This system aims to develop an IOT-based energy meter reading system using Node-MCU. The system is designed to monitor and control the energy consumption of a household or an industry in real-time. Node-MCU is an open-source platform that provides a micro-controller with built-in Wi-Fi capabilities, making it an ideal platform for developing IOT-based systems. The energy meter is connected to Node-MCU, and the energy consumption data is transmitted wirelessly to a cloud-based server. The data can be accessed and analyzed remotely using a web application. The proposed Electric vehicle control system is implemented on a prototype tricycle chassis. Overall, the paper proposes a cost- effective motor drive control system for electric vehicles, with closed-loop PWM control and an electronic differential control loop. It offers efficiency, reliability, and a smooth driving experience, making it an ideal solution for sustainable transportation and a significant contribution to the field.

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Automatic meter reading (AMR), Power Line Carrier (PLC), Radio Frequency (RF).

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 Abstract

The eyes are the primary sensory organ of an individual, and a mere look around us is enough to comprehend the significance of the vision. Individuals who are visually impaired face the daunting challenge of dealing with blindness, which can create a range of difficulties in their daily lives. Blind people often encounter struggles in performing even the simplest of tasks without the help of those who can see. This creates a sense of helplessness and inadequacy, causing them to feel like a burden to their loved ones. In addition, they face difficulty in recognizing and avoiding objects, making daily activities even more challenging. Our project's objective is to aid individuals with visual impairments in their daily activities, including navigation and object identification. This is achieved through the implementation of a voice-enabled system which is built using a Raspberry Pi 3B+ microcontroller, ultrasonic sensor (HC-SR04), voice module (APR33A3), and a Bluetooth speaker that guides visually challenged individuals in their day-to-day tasks, such as detecting obstacles and recognizing objects. The device incorporates the COCO dataset and TensorFlow Lite model for object recognition.Sensors and the microcontroller-based automated intelligent ghee-making unit will greatly add technology to the individual kitchen. The proposed unit will increase the quality of ghee prepared and ensure uniform ghee. It is also cost-effective so that units can be greatly accepted by individual kitchens, especially in India. The proposed Electric vehicle control system is implemented on a prototype tricycle chassis. Overall, the paper proposes a cost- effective motor drive control system for electric vehicles, with closed-loop PWM control and an electronic differential control loop. It offers efficiency, reliability, and a smooth driving experience, making it an ideal solution for sustainable transportation and a significant contribution to the field.

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 Keywords

microcontroller, Bluetooth speaker, voice module, Ultrasonic sensor, COCO dataset, TensorFlow.

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Goods and Services Tax (GST) is the tax applied to domestically consumed goods and services. This tax system is helpful in the creation of a uniform tax system across the country. The tax is included in the final price of the product. The customer who buys the product pays its price inclusive of the GST. The seller or retailer then forwards its GST portion to the government. We have focused on building a customer-friendly GST tracking system in which customers can track the GST amount they have paid to the retailer. It helps to automate the process of capturing and storing data related to the GST amount paid by customers to a particular shopkeeper and to provide the customers with an easy-to-use web interface to search for the GST amountpaid to the shopkeeper using their GSTIN number. The proposed GST Tracking System is a comprehensive solution that utilizes variousMicrosoft technologies to track goods and services tax data efficiently and effectively. One of the key benefits of this system is its real-time data processing capability. By scanningbarcodes and converting the data into an Excel sheet in real- time, the system can provide up-to-date information on GST data and is the ability to display data on a webpage via a static web app. By allowing users to enter a GSTIN number and retrieve relevant data, the system provides an easy-to-use interface to track and manage GST data. Sensors and the microcontroller-based automated intelligent ghee-making unit will greatly add technology to the individual kitchen. The proposed unit will increase the quality of ghee prepared and ensure uniform ghee. It is also cost-effective so that units can be greatly accepted by individual kitchens, especially in India. The proposed Electric vehicle control system is implemented on a prototype tricycle chassis. Overall, the paper proposes a cost- effective motor drive control system for electric vehicles, with closed-loop PWM control and an electronic differential control loop. It offers efficiency, reliability, and a smooth driving experience, making it an ideal solution for sustainable transportation and a significant contribution to the field.

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GST, Cloud, Tracking System

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We propose a novel system using Convolutional Neural Networks (CNN) on Raspberry Pi, integrated with a DHT-11 sensor for temperature and humidity monitoring. This system enables real-time monitoring of the storage environment, early disease detection, and accurate shelf-life prediction for fruits and vegetables. By ensuring optimal conditions and detecting diseases promptly, the system reduces food waste, prevents spoilage, and improves produce quality and safety. Sensors and the microcontroller-based automated intelligent ghee-making unit will greatly add technology to the individual kitchen. The proposed unit will increase the quality of ghee prepared and ensure uniform ghee. It is also cost-effective so that units can be greatly accepted by individual kitchens, especially in India. The proposed Electric vehicle control system is implemented on a prototype tricycle chassis. Overall, the paper proposes a cost- effective motor drive control system for electric vehicles, with closed-loop PWM control and an electronic differential control loop. It offers efficiency, reliability, and a smooth driving experience, making it an ideal solution for sustainable transportation and a significant contribution to the field.

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Raspberry Pi 3, DHT-11, CNN

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 Abstract

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Sentiment Analysis, TF-IDF, Support Vector Machine, Naive Bayes, Decision Tree, Accuracy, Precision, Recall,F- Score and CountVectorizer library.

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Remote control system that enables wireless photography and video recording using an Android phone and a Wi-Fi network. The proposed system consists of an Android application, a microcontroller, a Wi-Fi module, and a camera. The Android application allows the user to remotely control the camera's focus, zoom, and shutter using their phone's touchscreen. The microcontroller esp32 and Wi-Fi module are used to establish a wireless connection between the camera and the Android phone to capture the images and can be send to our mobile phone. The ESP32- CAM is programmed to send signals to the servo motors, which rotate the camera in the desired direction. The ESP32-CAM board is connected to a power supply and to the servo motors via jumper wires and a breadboard. The board is programmed using Arduino IDE to control the servo motors. The code sets the initial positions of the servo motors, and creates a control interface for the pan-tilt movements. The control interface is accessed through mobile device connected to the same network as the ESP32-CAM. The ESP32-CAM continuously receives signals from the control interface and sends corresponding signals to the servo motors, allowing the user to move the camera in any direction. The system also supports video recording and live preview of the camera's view finder on the Android phone's screen. The proposed remote-control system provides a cost-effective and user-friendly solution for photographers and videographers who want to control their cameras wirelessly and remotely.The basic functioning of a ghee-making machine involves heating butter in a vessel or tank, separating the milk solids from the liquid fat (clarification), and filtering the pure ghee through a fine mesh or cloth. Some machines also come with features such as automatic stirring, temperature control, and in-built filtration systems. While a ghee-making machine can save time and effort compared to traditional methods of making ghee, it is important to note that the quality of the final product depends on the quality of the butter used and the skill of the operator. Sensors and the microcontroller-based automated intelligent ghee-making unit will greatly add technology to the individual kitchen. The proposed unit will increase the quality of ghee prepared and ensure uniform ghee. It is also cost-effective so that units can be greatly accepted by individual kitchens, especially in India. The proposed Electric vehicle control system is implemented on a prototype tricycle chassis. Overall, the paper proposes a cost- effective motor drive control system for electric vehicles, with closed-loop PWM control and an electronic differential control loop. It offers efficiency, reliability, and a smooth driving experience, making it an ideal solution for sustainable transportation and a significant contribution to the field.

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 Keywords

ESP32-Cam, WiFi, Servo Motors, Pan-Tilt, Android Phone.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ghee-making machine is a device designed to facilitate the process of making ghee. Ghee is a type of clarified butter commonly used in Indian cuisine. There are various types of ghee-making machines available in the market, ranging from small household appliances to larger industrial-scale equipment. The basic functioning of a ghee-making machine involves heating butter in a vessel or tank, separating the milk solids from the liquid fat (clarification), and filtering the pure ghee through a fine mesh or cloth. Some machines also come with features such as automatic stirring, temperature control, and in-built filtration systems. While a ghee-making machine can save time and effort compared to traditional methods of making ghee, it is important to note that the quality of the final product depends on the quality of the butter used and the skill of the operator. Sensors and the microcontroller-based automated intelligent ghee-making unit will greatly add technology to the individual kitchen. The proposed unit will increase the quality of ghee prepared and ensure uniform ghee. It is also cost-effective so that units can be greatly accepted by individual kitchens, especially in India. The proposed Electric vehicle control system is implemented on a prototype tricycle chassis. Overall, the paper proposes a cost- effective motor drive control system for electric vehicles, with closed-loop PWM control and an electronic differential control loop. It offers efficiency, reliability, and a smooth driving experience, making it an ideal solution for sustainable transportation and a significant contribution to the field.

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Clarification, Thermocouples and Integrated Development Environment.

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In an organization there are several departments, each section has to perform necessary operations like data collection and preparation, entry, updates monitoring and reporting of data. The bang in the capabilities and features of mobile devices, like Smartphone's, tablets, and wearable's, combined with the ubiquitous and affordable Internet access and the advances in the areas of cooperative networking. Public want to get their things done as quickly as possible. They want effortless and fast access to each and everything. This paper analyzes the current attendance system with time- consuming, labor-intensive, low efficiency and many other shortcomings, and proposes an attendance system based on face recognition and GPS tracking and positioning. We have set up a number of functions in this system, not only adding a manual part, but also solving the phenomenon of students asking for leave and being late on the attendance system. At the same time, the system can meet the basic needs of classroom attendance. Whenever the class teacher is ready to start attendance, students can sign in according to the teacher's instructions.execute missions for the drone. The proposed Electric vehicle control system is implemented on a prototype tricycle chassis. Overall, the paper proposes a cost- effective motor drive control system for electric vehicles, with closed-loop PWM control and an electronic differential control loop. It offers efficiency, reliability, and a smooth driving experience, making it an ideal solution for sustainable transportation and a significant contribution to the field.

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Attendance, GPS, Face Recognition.

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A chatbot using Python programming language for a college campus to improve communication and accessibility among students, parents, faculty, and staff. The chatbot will be trained on a dataset of frequently asked questions and information about the campus using NLP techniques. It will be deployed on the college campus's website or social media platforms using Python web frameworks. The chatbot's effectiveness will be evaluated through user feedback, and the data collected will be used to enhance its capabilities. The chatbot will provide a personalized and convenient way for students to access information, and it will reduce the workload of administrative staff.In this project, we have developed a drone equipped with GPS tracking and mission planning capabilities using Raspberry Pi and Pixhawk. The drone is capable of autonomously flying over a designated area and providing basic medical assistance to the emergency situation specifically on those areas that are difficult to reach for the common vehicles and also when emergency vehicles are stuck in traffic, which can be used to optimize various applications. We have also developed a mission planning software that allows users to easily plan and execute missions for the drone. The proposed Electric vehicle control system is implemented on a prototype tricycle chassis. Overall, the paper proposes a cost- effective motor drive control system for electric vehicles, with closed-loop PWM control and an electronic differential control loop. It offers efficiency, reliability, and a smooth driving experience, making it an ideal solution for sustainable transportation and a significant contribution to the field.

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 Keywords

NLP, Dataset, Deployment, Model training, Pre-processing

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The combination of Raspberry Pi and APM in the field of drone technology offers a versatile and powerful platform for developing advanced applications such as GPS tracking and mission planning. This report explores the capabilities of Raspberry Pi and APM, their integration, and the programming aspects involved in developing a GPS tracking system for drones. The potential applicationsof this technology, benefits, and challenges are highlighted, along with an overview of existing research and projects. In this project, we have developed a drone equipped with GPS tracking and mission planning capabilities using Raspberry Pi and Pixhawk. The drone is capable of autonomously flying over a designated area and providing basic medical assistance to the emergency situation specifically on those areas that are difficult to reach for the common vehicles and also when emergency vehicles are stuck in traffic, which can be used to optimize various applications. We have also developed a mission planning software that allows users to easily plan and execute missions for the drone. The proposed Electric vehicle control system is implemented on a prototype tricycle chassis. Overall, the paper proposes a cost- effective motor drive control system for electric vehicles, with closed-loop PWM control and an electronic differential control loop. It offers efficiency, reliability, and a smooth driving experience, making it an ideal solution for sustainable transportation and a significant contribution to the field.

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flight controller, Pixhawk, APM, Raspberry Pi .

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 Abstract

In India, the grading of onions is done manually or with a motorized grading equipment which prolongs the grading process and raises the labor costs. When an onion deviates from being perfect globular shape it has been discovered that grading mistake will increase therefore it is essential to the develop system for grading that is more precise and effective. The main objective of the project is to grade onions in three grades i.e., 20-40mm(small), 40-60mm(medium), >=60mm(large) accurately and to make a portable system with reduced processing time. The proposed system presents an effective method that can help the classifying, has high accuracy and fast grading time that could meet industrial needs. The conveyer belt is build using Flexible Rubber of 2m length and 20cm width, Dc motor with 300Rpm and 12v geared, Roller of 6cm inner diameter. V pulley is used to support the motor movement, flat conveyor belt is considered having plywood as the supporting bed. Onions are passed through the conveyor belt where the sensor system is attached alongside of the belt to determine the diameter of the onions. The sensor system consists of ultrasonic sensor integrated using Arduino uno as controller. The data acquired from the sensor system is been processed using serial communication for sorting mechanism, in sorting mechanism onions are been graded into small, medium and large accordingly. Flapping system made up of servo motor and linear flaps is used to divert the onions to a particular direction based on the position of baskets. Onions are collected at three separate baskets kept at the end of the conveyor belt system. This project shall have an application in both farming and the upliftment of agricultural sector and the life of farmers. The proposed Electric vehicle control system is implemented on a prototype tricycle chassis. Overall, the paper proposes a cost- effective motor drive control system for electric vehicles, with closed-loop PWM control and an electronic differential control loop. It offers efficiency, reliability, and a smooth driving experience, making it an ideal solution for sustainable transportation and a significant contribution to the field.

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Conveyer Belt, Dc motor, Rollers, V pulleys, Sensor System, Sorting Mechanism and Linear flaps.

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 Abstract

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Arduino, Sensor, Refrigerator.

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Motor drive control, E-vehicle, FPGA design, PWM control, Electronic Differential control system

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An E-commerce website built on Blockchain technology can provide a more secure and transparent platform for online transactions. The use of Blockchain can eliminate the need for third-party intermediaries, making transactions faster and more efficient. Smart contracts can be used to automate the process of verifying and completing transactions, ensuring accuracy and reducing the risk of fraud. Additionally, Blockchain technology can provide a decentralized system for tracking productownershipandauthenticity, improving supplychain management and reducing the risk of counterfeiting. Overall, an E- commerce website built on Blockchain technology has the potential to provide a more secure and reliable platform for online transactions.

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Blockchain,AR,ECommerce.

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A linear actuator is a device which converts rotational motion into push or pull linear motion, which can be used for lifting, dropping, sliding, or tilting of machines or materials. Linear actuators work by moving an object or piece of equipment in a straight line, moving an object accurately and repeatably if required. The project is intended to design XY linear actuator which can carry the payload in X and Y direction. Lead screw mechanism is used to provide the linear actuator in XY direction using two stepper motors. The drive signals for the stepper motor is provided using CC3200 MCU (microcontroller unit). CC3200 is enabled with IEEE802.11 for wireless connectivity and a Graphical User Interface is provided through a web page with HTTP protocol for controlling XY linear actuator. Additionally, a webpage is developed for controlling a XY linear actuator. The experimental results shows 0.1062 mm and 0.1437 mm of error for X and Y axis respectively.

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A GRAPHICAL USER INTERFACE FOR XY LINEAR ACTUATOR USING LEAD SCREW MECHANISM

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Rain is an essential part of the water cycle that transfers water from the atmosphere to the surface, sustaining life. For many human activities, including irrigation management, hydrological monitoring, water resource management, and flood prevention, accurate rainfall data is crucial. Traditional approaches to monitoring rainfall data, however, can be inefficient and time- consuming. A reliable system for predicting rainfall is necessary because global climate change has also altered rainfall patterns. Effective sensors for measuring rainfall are rain gauges. However, it can be difficult to accurately predict when it will rain. Unexpected or significant rainfall can harm crops and property, which has an impact on the economy. Therefore, early warning systems and reducing risks to life and property, particularly in agriculture, depend on improved forecasting models. The goal of this project is to create a system for predicting rainfall using machine learning and artificial intelligence. The system aims to make machine learning techniques easy to use for non-experts in the field and to compare them. For increased accuracy, the project makes use of a sizable dataset of historical weather information. The system can forecast rainfall amounts and provide advance warnings to lower the risk of loss. Since the people of this country are primarily dependent on agriculture, this prediction system is crucial to managing agricultural farms and utilizing water resources efficiently.

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Tipping Bucket Rain Gauge, ESP32, Reed Switch, Rain Fall Prediction.

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 Abstract

Agriculture is a critical sector for the Indian economy. Areca nut is one of the major commercial crops in India, and operations like spraying pesticides and fertilizers can be harmful and tedious for farmers. The scarcity of labour in agriculture has become a major concern in recent years, particularly for areca nut cultivation. Areca nut trees require frequent climbing for tasks such as preventive spraying against fungal diseases and nut harvesting. In addition to disease, farmers must also contend with the health risks associated with pesticide exposure. This paper aims to design a user-friendly agriculture robot that can assist farmers in risky tasks, such as pesticide/fertilizer spraying. The proposed system involves the automation of farm activities, which can be controlled by the farmer using a joystick. It uses MY1016ZL high torque motor and Cytron Smart Drive MDDS30 Dual 30A Motor Driver to control the motor. A FlySky FS i6 transmitter and receiver combination is employed for controlling the robot. The robot frame is equipped with a nozzle attached to a rubber pipe, which is employed to spray pesticide during operations. The proposed solution serves as a dependable means of resolving the issue of labour shortage, ultimately leading to an improved quality and yield of the produce.

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Areca nut, motor driver, pesticide, FlySky FS i6, nozzle.

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A curriculum map is a tool used to ensure consistency in teaching and assessment of learning outcomes. It can be used as a planning tool for curriculum design or developed into existing ones. Curriculum mapping involves aligning resources, activities, instruction, assessments, and educational reforms with a program, correcting redundancies and gaps. It also indicates the alignment of learning and teaching standards, indicating the success of a HEI or faculty in meeting academic expectations and established standards. In the present article a brief introduction about Curriculum mapping, its types and a methodology designed have been described.

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Curriculum mapping, NEP 2020, Assessment and Evaluation.

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For Indians expanding urban middle class, perhaps no issue is more important than addressing corruption in public life that most perceive to be pervasive and debilitating. It could ever be said that for this post liberalization generation, corruption and the fight against corruption has become the predominant theme of the second decade of the 21 Century. The spread of this Concept What Philip Abrams(1988 56-69) Termed the "State idea" has resulted from a decline in the importance and prestige for the middle class of a public sector that often requires bribes to attain employment and key postings and from which corruption is a major source of income. In constant people with private sector jobs receive much less personal benefit from corrupt practices, and unlike landed elites, no longer need influence over local state institutions in order to protect their interests. There was a lot less noise about Corruption where majority of the politicians and bureaucrats who benefited where from upper caste, urban middle class This is perhaps why politicians are after seen as the source of Corruption to the middle class popular imagination

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Creative Commons Attribution 4.0 and The Open Definition

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Corruption

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Creative Commons Attribution 4.0 and The Open Definition