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In recent times as the world is facing many challenges in the sector of politics, economy, weather, social etc health still remains the top priority for everyone. In the field where the need of the professionals is always rising no one can get constant surveillance .For the very need we have come up with a system that can help us with the surveillance of the critical patients. The system that we suggest can help us with the finding the needs of the patients.The system has an alerting feature as well that will alert the doctor on call or the person in charge if the heartbeat of the patient is disrupted.

The growing concern and importance of fuel assistance in the transportation sector have led to the development of an online platform called Fuel Delivery Application. This Android platform aims to provide a safe, reliable, and efficient delivery service for gasoline and diesel to users vehicles, whether they are in urban or rural settings. The application utilizes the GPS sensor of mobile devices to determine the user’s location and employs the K-Nearest Neighbour (KNN) algorithm, a popular machine learning algorithm, to find the nearest petrol pump. When a user finds themselves stranded on the road due to a lack of fuel, the Fuel Delivery Application becomes a crucial service to rely on. Instead of worrying about finding a nearby petrol pump, users can simply use the application to request the desired fuel to be delivered to their location. The system ensures that the real cost of the fuel is charged, and additional fuel delivery fees are added accordingly

Blockchain technology has the potential to revolutionize the food supply chain by increasing transparency and traceability. With blockchain, every step of the food supply chain can be recorded and verified, allowing for greater accountability and trust between suppliers, manufacturers, distributors, retailers, and consumers. This study inclines towards the study of blockchain technology in use with food supply chain management. It also mentions the advantages and barriers to use this technology. To better comprehend the development of pertinent study and shed light on the benefits, issues, and difficulties with blockchain technology, there has been a review of the literature and an logical assessment of the supply chain exploration based on blockchain. Several intermediaries, trust issues, and subpar performance are all factors in traditional supply chain operations. Supply chain operations may be disrupted utilizing blockchain technology to enhance performance, disperse governance, and automate procedures. From the standpoint of literature analysis, this study contributes to our understanding of blockchain applications in supply chain management and offers a roadmap for these applications.

The main objective of the project is to design and fabricate a drive train for All-Terrain Vehicle(ATV). The motive to get into this project was to learn and understand more about an All-Terrain Vehicle (ATV), studying about various parameters which would affect the drive train of the vehicle. To design an All-Terrain Vehicle, it is required that the transmission system should withstand all the hurdles on the terrain. The terrain includes the mud-pool, rock crawl ,dunes ,etc. All the possible options were considered while designing the drive train for All-Terrain Vehicle. After discussions it was decided that the transmission system would be automatic consisting of continuously variable transmission(CVT) couples with a two-staged gearbox and open differential with the half shaft. Whole system was tested thoroughly and it performed very well

The purpose of the Automated Paper Generator is to automatize the winning guide machine with the aid of the help of computerized gadgets and full-fledged laptop code, pleasurable their requirements, simply so their precious facts/data can be maintained for an extended quantity with clean gaining access to and manipulation of the desired software program and hardware are honestly available on the market and easy to discern with. automatic query Paper Generator, as represented above, will result in blunders loss, at ease, reliable, and brief control system. it can help the person to not forget their opportunity sports but rather to concentrate on file preserving. So, it's going to assist an organization in the higher utilization of sources. The enterprise will keep computerized records while not redundant entries. which means that one needn't be distracted by info it is now not applicable while having the ability to acquire the statistics. The goal is to automatize its existing guide gadget by way of the assistance of picked equipment and complete-fledged laptop software, pleasurable their requirements, just so their precious facts/statistics can be preserved for an extended quantity with sincere access to and manipulation of the equal. on the whole, the venture describes the manner to manipulate permanently overall performance and better offerings for the customers. Texts with capacity academic well-worth have ended up on the market through the net. however, the victimization of those new texts in lecture rooms introduces several challenges, one in every of which is that they typically lack compliance with physical activities and assessments. right here, we will be inclined to address part of this task by way of automating the creation of a specific form of assessment object and the use of various questions developing with taxonomies. specially, we concentrate on mechanically generating actual WH queries. Our purpose is to make an automatic gadget if you want to take as enter a text and flip out as output questions for assessing a reader's understanding of the records within the text. The questions would possibly then be supplied to a trainer, who would possibly pick and revise people who she or he judges to be beneficial.

Stack Overflow is a valuable resource for software development-related concerns. For a few years, most people have been utilizing stack overflow to discover answers to mistakes they have faced. Within a short period, stack overflow has been acquainted with the majority of users. While coding, we are all likely to encounter one or more various sorts of mistakes on a regular basis. Then stack overflow will enter the scene to provide solutions. And the everyday action in software development is to write code, execute it, and remove mistakes.

bstract: Many people die each year in roadway departure crashes caused by driver inattention. Lane detection systems are useful in avoiding these accidents as safety is the main purpose of these systems. Such systems have the goal to detect the lane marks and to warn the driver in case the vehicle tends to depart from the lane. A lane detection system is an important element of many intelligent transport systems. Lane detection is a challenging task because of the varying road conditions that one can come across while driving. In the past few years, numerous approaches for lane detection were proposed and successfully demonstrated. In this paper, a comprehensive review of the literature in lane detection techniques is presented. The main objective of this paper is to discover the limitations of the existing lane detection methods.

The attendance maintenance system is the major performance evaluation of the student. In recent periods, the student attendance is maintained in the system manually and updated in the particular college server. Several attendance systems have been proposed based on manual presence. This is a highly important problem. The administration requires careful follow-up, taking care of it and not being lenient. The previous systems are inefficient in term of processing time and low in accuracy. Smart Attendance System using QR Code with SMS Notification will be developed for helping lecturers to manage student attendance. To ensure the student attends in the classroom, QR code contained the time information was generated and displayed at lecturer presentation. The student only needed to scan the displayed QR code and face using ESP32 CAM. The code was then sent to the server for attendance process.

The field of medicine is expanding rapidly as new diseases appear regularly, necessitating the development of appropriate treatment options. A precise and efficient method of operation is necessary for correct diagnosis and treatment. Blood pressure (BP) is a vital sign that provides basic information about patients' health. During the clinical operation of hemodialysis, blood pressure (BP) variability affects significant global risks and secondary complications associated with adverse mortality. In patients with hypertension, continuous BP monitoring is important. If the scheme is automated, it can be very useful. Consequently, the implementation of an effective automatic medical diagnostic scheme could be very beneficial for all stratifications involved in this process.

Over the past few months, the exponential increase in COVID-19 cases has been overwhelming for many healthcare systems across the world. With 114 million cases globally as of 28th February 2021, with India itself having 11.1 million cases, it has challenged us with the testing, quarantine, and safety measures. Having limited testing kits, not all patients that have symptoms of respiratory illness can be tested using conventional techniques (RT-PCR). In this project, we propose the use of chest X-Ray to prioritize the selection of patients for further RT-PCR testing. It would also help in identifying patients with a high likelihood of COVID with a false negative RT-PCR who would wish to repeat testing. Further, we propose the utilization of recent AI techniques to detect the COVID-19 patients automatically using X-Ray images, particularly in settings where radiologists aren't available, and help make the proposed testing technology scalable. Keywords: COVID-19, healthcare systems, X-Ray, RT-PCR, patient, AI.

QR code (abbreviated from Quick Response Code ) is the trademark for a type of matrix bar code first designed for the automotive industry. Today the QR code is widely used in all industries. In our paper we present an implementation of an Android device using libraries is and combined algorithms in order to be able to scan any QR code fast accurate and easy. The devices that we targeted for our application are the Google Glasses and an Android operated phone. The implementation for each of the devices was slight different, but the core algorithms and libraries were the same. Keywords: Generate QR Code for Notes, Android device using libraries

Brakes are one of the most significant safety systems in an automobile. In the braking process, the rotor will be exposed to large stresses which result in surface cracking, overheating of brake fluid, seals and other components. Therefore one of the main tasks of the braking system is to reduce the surface temperature of the brake rotor. This can be achieved by choosing the right material which will undergo the least thermal stresses. In this project, thermal analysis for vented disc brake rotor of Mahindra Bolero’s done, for providing an efficient material for disc brake rotor and brake pads which can dissipate heat generated during braking at faster rate and also being structurally safe. Keywords: Braking system, Disc Brake Rotor, Thermal, Structural Analysis, CATIA V5, ANSYS WORKBENCH

The cloud computing has completely changed the IT infrastructure and also the businesses associated with it. Unfortunately, the demand for cloud infrastructure is growing rapidly, so is that the energy consumption of information centers. Here is when the green cloud computing comes into play. Green cloud computing refers to the environmental benefits of switching your IT services to the cloud. it's also benefits of green cloud computing together with the uses cloud hosting services. Keywords: Green cloud computing, Network, Green information, technology.

A conversational agent (chatbot) is a piece of software that is able to communicate with humans using natural language. Modeling conversation is an important task in natural language processing and artificial intelligence (AI). Indeed, ever since the birth of AI, creating a good chatbot remains one of the field’s hardest challenges. While chatbots can be used for various tasks, in general they have to understand users’ utterances and provide responses that are relevant to the problem at hand. In the past, methods for constructing chatbot architectures have relied on hand-written rules and templates or simple statistical methods. With the rise of deep learning these models were quickly replaced by end-to-end trainable neural networks around 2015. More specifically, the recurrent encoder-decoder model [Cho et al., 2014] dominates the task of conversational modeling. This architecture was adapted from the neural machine translation domain, where it performs extremely well. Since then a multitude of variations and features were presented that augment the quality of the conversation that chatbots are capable of the next section of my paper focuses on adapting the very recent Tranformer [Vaswani et al., 2017] model to the chatbot domain, which is currently the state-of-the-art in neural machine translation. I first present my experiments with the vanilla model, using conversations extracted from the Cornell Movie-Dialog Corpus [Danescu-Niculescu-Mizil and Lee, 2011]. Secondly, I augment the model with some of my ideas regarding the issues of encoder-decoder architectures. More specifically, I feed additional features into the model like mood or persona together with the raw conversation data. Finally, I conduct a detailed analysis of how the vanilla model performs on conversational data by comparing it to previous chatbot models and how the additional features, affect the quality of the generated responses