Volume 11 | Issue 4 |

 Abstract

The main objective is the management of waste through segregation using supervised machine learning algorithms for the socio-economic factors modeling Internet of Things(IoT). The supervised learning follows a classification model that maps the waste and segregates it into biodegradable and non-biodegradable waste. The pseudonymous waste uses an unsupervised learning model of clustering, the cluster model is built through a neural network. IoT plays a crucial role by distinguishing waste to stack for further management. The neural network model would recognize the underlying segregation of the waste. A data pre-processing and integration framework would be built to generate a dataset with sufficient data quantity. The approach and purpose is to develop tools for sourcing, data-preprocessing and an integrated framework for a dirt-free environment of waste management

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Supervised Learning, Unsupervised Learning, IoT, Neural Network

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The main objective of VOICE CONTROLLED WHEEL CHAIR SYSTEM project is recommended to control a wheel chair by using speech recognition module. The system is designed to control a wheel chair using the voice of person. The objective of this project is fascilate the movement of people who are disable or handicapped and elderly people who are not able to move well. The goal of this system will allow certain people to live a life with less dependence on others for their movement as a daily need. Speech recognition technology is a key technology which will provide a new way of human interaction with machine or tools. Therefore the problems that they face can be solved by using speech recognition technology for the movement of wheel chair. This can be realized and optimized with use the smart phone device as an intermediary or interface. In this project interfaces has been designed therefore to develop a program for recognize speech also controls the movement of chair and an application which can handle or manage the graphical commands. This project uses Arduino kit Microcontroller circuit and DC motors to create the movement of wheel chair and Ultrasonic Sensors to detect the hurdles in between wheelchair and the way of direction.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Speech recognition, Robot, Bluetooth

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As smart home technology becomes more widespread, ensuring privacy and security in these systems is of utmost importance. This paper proposes a user-friendly authentication scheme that allows for secure and anonymous access to a smart home environmental control system. The scheme utilizes a combination of biometric authentication, one-time passwords, and encryption techniques to ensure the privacy of user information and the security of the system. The proposed scheme is evaluated through a series of experiments, and the results demonstrate its effectiveness in preventing unauthorized access and protecting user data. This authentication scheme provides a practical solution for homeowners who want to ensure the safety of their smart homes while maintaining user-friendliness and ease of use. In this Smart home technology is a new Internet-of-Things (IoT) application that allows users to control home gadgets remotely. Because the user/home communication link is unsecure, secure communications in the smart home environment require an efficient and anonymous authentication mechanism. The smart home is an environment in which heterogeneous electronic gadgets and appliances are networked together to give smart services to individuals in a ubiquitous way. As houses become smarter, more sophisticated, and more reliant on technology, the requirement for an appropriate security mechanism with minimal human interaction grows. Recent severe security hacks have demonstrated how Internet-enabled smart homes may be transformed into highly dangerous places for different nefarious motives, resulting in privacy problems for individuals.Authentication intelligence was used in this project to recognize and evaluate people and monitor them using our evolving technology. In the proposed work, we employ LBPH (local binary pattern) and machine learning approaches to minimize the recognize time of many items in less time while maintaining the optimal time complexity. If an unauthorized individual enters, it will capture and send an alert through email.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ARDUINO UNO, IOT, CAMERA INTRODUCTION

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The popularity of conventional shopping hasn't diminished despite the tremendous growth of e-commerce and other internet applications. Following up in a line for the billing procedure might be tough. There is a need for simple and speedy bill payment. Due to a barcode-based billing system, a large population in the supermarket over weekends or when there are discounts makes it difficult to avoid standing in long lines. In this regard, the Radio Frequency Identification (RFID) sensors, Arduino micro controller, Bluetooth module, and mobile application-based Smart Shopping Cart is presented. Each product may have a cheap RFID tag affixed as part of an IOT system, and when that product is placed in a smart shopping cart, the RFID reader on the cart can scan the tag automatically. Moreover, RFID-equipped smart shelving that can track inventory and maybe update a central server can be included into this system. This type of technology also makes inventory management simpler because all goods can be automatically scanned by an RFID reader to determine whether a product's expiration date is still valid. The IOT website will be updated with all information.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Internet of things, microcontroller, Electronic tags.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In ultramodern times, blockchain has expanded expansive attention as an evolving moxie for degeneration, translucency, and invariability in pacing online conduct in excess of community networks. As a pivotal request process, deals have been well considered and realistic in numerous professional fields due to their effectiveness and immolations to fair trade. The decentralized nature of blockchain can give a secure, secure, and cost-effective medium to manage the transaction process; transaction models can be employed to design incitement and agreement protocols in blockchain infrastructures. In this frame, ECDSA- AM (Elliptic wind Digital hand Algorithm with Action Medium) is proposed to give trust for theusers. Cost value transmission is handled by Digital hand, so it can't be modified by intermediate druggies. Our system aims to give flexible functionalities to the stoner by making use of simple easy- to-easy interface with high security, where deals are handled in blockchain with hand generation. The process of an online transaction is important the same as a live transaction. This means that druggies place flings for particulars, and the goods get vended to the loftiest endeavor. You're notified through dispatch on the status of your flings, which is when you place a shot, when you've been outbid and when you've won an item.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Multiauction, Blockchain, Digital Signature, ECDSA.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

We are living in an era where technology is advancing at unprecedented rate. Nowadays, Artificial Intelligence and Machine L earning are used in e very domain wherein machines or computers are being trained to work automatically with very less human efforts. Machine Learning Algorithms are very useful in prediction, analysis and training. We will use ML Algorithms in predicting and analysis of various diseases in human beings. Health is one of the precious asset for a human being but due to the ongoing pandemic people can't recognize and treat their diseases from their home so we are aiming to develop a disease prediction system using ML Algorithms for better prediction of diseases by providing their symptoms to recognize the diseases more precisely with its consequences and treatment with the ease of using it at their own comfort zone. We are developing this system also because people can consult with their respective doctors via live consultation without physical contact. Our interface would help people to some extent in-order to reduce the risk associate with predicted diseases to reduce the impact on other body parts. With the help of extensive powerful ML Algorithms accuracy is highest. People can also maintain safety protocols in this pandemic by predicting the diseases from their home.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Scikit-learn, NumPy, Data Preprocessing, Dataset, Algorithms, Training Data, Training Set, Machine Learning, Naive Bayes, KNN, Decision Tree, Kernel SVM, Logistic Regression, Random Forest, Django, Training Model, Web Module, Data Collection Module, APIs, Artificial Intelligence, Disease Detection Module, Authentication, User Interface, SDP

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Deaf and dumb people all around the world use Sign Language to communicate. Yet, communication between a verbally handicapped person and a normal person has always been challenging. Sign Language Recognition is a significant advancement in assisting deaf-mute persons to communicate with others. Today, academics all around the world are concerned with promoting an affordable and accurate identification system. As a result, sign language recognition systems based on image processing and neural networks are chosen over gadget systems because they are more accurate and simpler to implement. The goal of this project is to create a user-friendly and accurate sign language recognition system that is trained using a neural network and can generate text and audio from the input gesture.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Hand gesture, Sign language, Communication ,OpenCV, ANN, CNN.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Climate change is any significant long term change in expected patterns of average weather of a region over a significant period of time. It is about abnormal variations to the climate and the effects of these variations on other parts of earth. There are many natural and anthropogenic factors that contribute to climate change. Climate change caused by the global increase in temperatures triggers multiple negative effects on the planet. Climate change is one of the most important global environmental challenges facing humanity with implications for food production, natural ecosystems, freshwater supply, health, etc The climate change issue is part of the larger challenge of sustainable development. As a result, climate policies can be more effective when consistently embedded within broader strategies designed to make national and regional development paths more sustainable. The landmark 2015 Paris Agreement under the United Nations Framework Convention on Climate Change (UNFCCC) commits all countries to keep global mean temperature increase well below 2 degrees Celsius. Therefore Clean air, Clean Energy and Clean power balanced with growing were the priorities of India in its mission in its negotiation to combat the climate change.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Impacts of Climate change, Paris agreement, Sustainable Development.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Mishaps nowadays can occur for a variety of causes, the most common of which is brake failure, which is caused by bad maintenance as well as item deformation. To protect crucial human lives from disasters, it is necessary to observe slowing mechanisms in automobiles. Automobile security is the avoidance of car accidents or the reduction of the harmful effects of mishaps, particularly those involving human life and wellness. Unusual welfare features have been added with vehicle dwellers only, and some for the safety of others. The automatic brake failure indicator is a system designed to detect and alert drivers of potential brake failures in vehicles. The system uses sensors to monitor the brake system and analyzes the data to determine if there is a potential brake failure. If a failure is detected, the system will immediately alert the driver through visual and audible warnings, allowing them to take immediate action and prevent accidents. The system is designed to be easy to install and can be integrated into a wide range of vehicles. By providing drivers with advanced warning of potential brake failures, the automatic brake failure indicator can help reduce the risk of accidents and save lives. The purpose of this project is to develop a safe braking system with a brake failure signal. Most brake failures are caused by a cut in the lining and a worn out brake shoe. It is made up of two sensors, one attached to the brake shoe and the other to the brake lining. A microcontroller receives the signals from both sensors. When the brake shoe wears out or the brake lining is cut, the sensor sends a signal to the microcontroller. The signal is analyzed by the microcontroller, and the matching indicator is activated. If there is no flaw elsewhere, the green indication illuminates, whereas the red indicator illuminates if there is a problem with the brake shoe or brake lining.The goal of this project is to use IOT to develop a safe braking system with a brake failure signal. It is made up of the one that has the brake failure indication. The indicator's signal is sent to a microcontroller. When the brake lining is severed, the BFI sends a signal to the microcontroller through the LCD and IOT. The signal is analyzed by the microcontroller, and the matching indicator is activated. If there is no flaw elsewhere, the green indication illuminates, whereas the red indicator illuminates if there is an issue with the brake liner. This solution contributes significantly to safety by reducing avoidable accidents through the use of IOT. Our technology assists in signaling the state of the brake, allowing the user to recognize and reduce the likelihood of failure.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ARDUINO UNO, BREAK FAILURE INDICATOR, IOT, TEMPERATURE SENSOR

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Driver drowsiness and fatigue are key causes of road accidents. Every year, they increase the number of deaths and fatalities worldwide. In this project, an Advanced Driver Assistance System (ADAS) module is offered in order to minimise the frequency of accidents caused by driver drowsiness and thereby boost transportation safety. Based on visual information and Artificial Intelligence, this technology detects and prevents driver fatigue and accidents. We suggest utilising an Arduino controller to detect driver sleepiness using artificial intelligence. To analyse driver tiredness, this research created a prototype integrated system that combines machine vision-based sleepy driver monitoring technology with accident prevention system analysis of operator/vehicle performance. The goal of this system is to accurately assess commercial motor vehicle driver sleepiness and offer a real-time warning to the driver as well as a control output to the commercial steering or other systems as needed. The cloud-based server will process the data received from the microcontroller and use machine learning algorithms to detect signs of drowsiness. The server will send alerts to the driver through the vehicle's dashboard display or beep alerts when it detects signs of drowsiness. The system will also send alerts to the vehicle's owner or fleet manager to notify them of the driver's drowsiness. This system can be useful for electric vehicle owners and fleet managers to ensure safe driving and reduce accidents due to driver drowsiness. It can also be used by public transportation companies to ensure the safety of passengers. The system can be easily integrated into existing electric vehicles, and it can be customized according to the needs of the user.The objective of this project is to develop an Internet of Things (IoT) based driver drowsiness system for electric vehicles. The system will detect the drowsiness of the driver by monitoring various parameters like head movements, eye blinking patterns, and steering wheel movements. The system will alert the driver in real-time when it detects signs of drowsiness to prevent accidents and ensure safe driving.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords--ARDUINOUNO,IOT,CAMERA,VIBRATION MOTOR, DC MOTOR

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Creative Commons Attribution 4.0 and The Open Definition