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The main thing of Artificial intelligence (AI) is the consummation of natural dialogue between humans and machines. There are numerous IT companies have used the dialogue systems technology to establish various kinds of Virtual assistants grounded on their operations and areas for adding commerce between mortal and machine, similar as Microsoft’s Cortana, Apple’s Siri, Amazon Alexa, Google Assistant. Like Microsoft Cortana we've created our own virtual desktop assistant only for Government College Of Engineering Chandrapur (GCOEC) using python which is suitable to run on any windows operating systems. We use python as a programming language because it has a multitude of libraries which can be used to create Artificial Intelligence. Our version of desktop assistant is capable of recognizing voice and voice commands. Desktop Assistant are programs on digital device like PC that hear and respond to verbal commands. Example, a user can say, “Open GCOEC Website” and the assistant will answer with the sanctioned website of GCOEC. Desktop Assistants can change the way of life of the people in a different manner. Bias is starting to build up in the community as AI’s are getting smarter in their own way to interact with humans in an easy language. The Desktop Assistant is a program that can fete mortal voices and can respond via integrated voice system. This paper will define the working of Desktop assistant, their main problems and limitations. In this paper it's described that the system of creating a Desktop assistant without using pall services, which will allow the expansion of similar bias in the future

In any big institution,especially educational institutions like schoolsor colleges, generation of large quantity ofwaste papers is quite apparent. And effective use of recycled paper is also possible (craft papers, registers etc). So, instead of disposing off the waste papers into trash, recycling themmakes sense. This not only helps the institute in cost saving but will also ensure its contribution towards the protection of the environment. Designing automatically operated small-scaled paper recycling plant, which can be used in schools and colleges, ensures that a cheap and non-complex methodof production of paper product is guaranteed.Accordingly design of the machine unit has been prepared with all necessary component specifications.

Day by day world population is growing rapidly and a huge amount of people shifting to large cities and new places for work, education or job purpose, or a better life. That is why the housing demand is increasing and house renting becoming an elemental part of our society. As a result, I realized the importance of an online house renting website and come up with a decision to implement a such web application. In this paper rental website development is discussed. Through this website, tenants can rent properties and landlords can upload their property details for rent. This website will help users to give or take rent houses without dealing with flat brokers to finally reach an agreement that suits the interests of all parties. The packaging and shifting services facility will help users to shift valuable things safely to destinations. To implement, and testing of the proposed system, this application interface has been developed using HTML, CSS, JavaScript, Bootstrap, PHP, and MySQL database server that allows for making web pages interactive and responsive. This system was developed in such a manner so that it can provide a maximum user-friendly interface, and users can use it more efficiently.

Based on travel notes and reviews from the others opinions, this paper have made a word segmentation which describes the use of MERN technology in the project. This project also includes the scripting languages like HTML, CSS and JavaScript. With the help of HTML, we are building a website. Here, we are using Nav bar, tables and many more thing to look the website attractive. and with the help of CSS, It makes website cool and user-friendly. In CSS, we are using flex-box, grid and Bootstrap. And With the help of JavaScript, It will be show some alert message and more.

Cryptography is the technique for hiding data and information from unauthorized users. It is the art of achieving security by encoding messages to make them non-readable. When we send simple message from one location to another then this message called plain text is visible to anybody. If we want to codify the message called cipher text so that no one can easily understand the meaning of message then we use cryptography techniques. There are numerous applications where this technology is used such as ATM pin, Password, Credit Card number or any other secret communication. Cryptography can be divided into following three categories depending upon the types of key used: secret key (symmetric) cryptography, public key (asymmetric) cryptography and hash functions. In this paper we provide review of various types of cryptography techniques.

This research paper focuses on the creation of aweb application that employs modern techniques to authenticate and verify the identities of students and employees. In the era of digital transformation, conventional identification methods have become less effective. To overcome this challenge, the proposed solution leverages advanced biometric technologies like facial recognition and QR codes to ensure precise identification of individuals. Moreover, the application offers SMS and email notifications, along with a performance chart generated by machine learning to provide comprehensive user information.The

Nowadays huge amounts of text data are available due to the evolution of the Internet. Although search engines are used to select text data, it is unfeasible to go through the entire search results of text that are related to search intent. Therefore, text summarization is the only method by which we can reduce text data without the loss of information. A new method for Title or Text generation is the Transformer language model that has been trained i.e. GPT-2, GPTNeo, Chat-GPT, and LSTM Model of RNN by which we can generate catchy titles to take readers’ attention and attract them to read a full article. This paper has discovered recent literature on all the previously mentioned topics which are related to Title or Text generators and examines several methods which propose to make use of various language models. The suggested approaches are also contrasted with one another to highlight their unique advantages, and to suggest constantly better ways.

Managing Liquidity has seldom been being as vital as it has during the Covid-19 era. The financial impact of Covid-19 has left many firms on the brink of liquidation. This paper explores the effect cash holdings has had on Profitability of the firm and how it compares with commercial paper between the pre-Covid-19 era and the Covid-19 era. This paper employs and compares the ordinary least square regression between these eras. I find that firms are less liquid during the Covid-19 period compared to the pre-covid period. More importantly, I find that Liquidity has been more critical to a firm's Profitability during Covid-19 era compared to pre-covid 19 periods. Furthermore, Cash holdings represent a significant chunk of Liquidity. However, these Cash holdings dropped by a little in the covid-19 era. Finally, I find that both commercial paper and cash holdings are used as complements. However, this result is weakly supported during the pre-covid period.

Cement production is one of the sources that emit carbon dioxide, in addition to deforestation and combustion of fossil fuels also leads to ill effects on environment. The global cement industry accounts for 7% of earth’s greenhouse gas emission. To enhance the environmental effects associated with cement manufacturing and to constantly deplore natural resources, we need to develop other binders to make the concrete industry sustainable. This work offers the option to use waste paper sludge ash as a partial replacement of cement for new concrete. In this study cement in partially replaced as 5%, 10%, 15% and 20% by waste paper sludge ash in concrete for M25 mix and tested for compressive strength, tensile strength, water absorption and dry density up to the age of 28days and compared it with conventional concrete, based on the results obtained, it is found that waste paper ash may be used as a cement replacement up to 5% by weight and the particle size is less the 90µm to prevent reduction in workability. Keywords: slump test, Compressive strength, split tensile strength, water absorption test, Waste Paper Sludge Ash Concrete, Workability.

A mobile application called "Health Care Application" is designed to make it easier for people to get medical help by giving them quick, accurate responses. Users of the health care application include doctors, patients, and vendors of medications, pharmaceuticals, and medical supplies. The 'Health Care Application' concept will provide users access to all the amenities whenever and wherever they choose, given the significant increase in the use of smartphones. In today's current, technologically advanced world, it is crucial to find a quick, digital solution to any issue, therefore any emergency needs must be met in an approachable manner. This programme has a symptom analyzer that analyses the symptoms entered by the patient and suggests medications or medical professionals based on those symptoms.Given howdifficult it is to remember everything in the modern world, the medication reminder helps users remember their medication dosages without forgetting any. Multiple types of accounts help to maintain data security by limiting user access to only that data for which they are authorised, so data integrity is highly valued. Additionally, this application has a chat room where users can consult doctors, avoid waiting in line at the clinic, pay with their wallets, and, if they choose, take advantage of health insurance services. The patient's health status can be live-monitored by the doctor, who can also review past medical records.

In today's financial world, a stock market is quite important. The stock market's worth is an important part of today's global economic system. The stock market attracts a large number of people from all areas of life, whether corporate or academic. Because of the non-linear structure of the stock market, research is one of the world's hottest and most important topics. People invest in the stock market based on previous theory outcomes or assumptions. When it comes to forecasting, people typically look for ways or procedures to help them reduce risk and improve performance. As a result, in today's competitive stock market, stock value forecast is crucial. Critical and technical studies' approach cannot guarantee the consistency and accuracy of estimations. As a result, machine learning technology has risen in popularity in stock forecasting over the last 5-6 years, with estimates based on current stock values that have been educated in terms of prior values. This research focuses on using LSTM (Long Short Time Memory) technology to forecast future market trends.

In today’s modern world people all around the globe are becoming more interested in their health and lifestyle. But just avoiding junk food and doing an exercise is not enough, we require a balanced diet. A balanced diet based on our height, weight and age can lead a healthy life. Combined with physical activity, your diet can help you to reach and maintain a healthy weight, reduce your risk of chronic diseases (like heart disease and cancer), and promote your overall health. A balanced diet is one that gives your body the nutrients it needs to function correctly.’ Our aim is to make a system that helps users to make personalized diet plan and recall them for their meal time to time and help them to create a balance in overall calorie intake throughout the day. The system would remind the user on a daily basis to have their meal and with many options to choose from for a personalize meal plan for a day. Also, the user will be able to choose any type of healthy food they want as per their convenience out of the options that will be there to them by the system. Our body use calories for basically everything like breathing, walking, running etc. On average a person needs 2000 calories per day but specifically intake of calories depends upon persons physical aspects like weight, height, age and gender. So, your food choices each day affect your health — how you feel today, tomorrow, and in the future. Thus, a proposed system gives required calories for a diet plan based on your physical aspects and your end goal.

Traffic flow prediction is an essential tool for traffic management, which can assist traffic operators in making informed decisions for traffic control and management. Accurate traffic flow prediction can also help commuters to plan their journeys efficiently and reduce travel time. The use of Support Vector Regression algorithm for traffic flow prediction has shown promising results in various studies, and it can be used to predict traffic flow at different time intervals, such as hourly, daily, weekly, or even yearly. Additionally, the application of machine learning and artificial intelligence techniques can further enhance the accuracy of traffic flow prediction, which can lead to more effective traffic management strategies

The human brain is the most important and complex part of our body. It controls our muscles and gives us the ability to think, create ideas, and act. The neurons present in the brain store the information of events that happened with us. We, humans, are said to be “intelligent” because of our brains. But when our body decays with time we tend to lose our memory and intelligence, so here comes the concept of the Blue Brain. It is a Virtual Brain that uses a supercomputer called “Blue Gene”. It basically functions as a Human Brain. Its main function is to create a connection between the human brain and the artificial Brain. As the Life span of human beings is limited this invention is done to understand human feelings, knowledge, ideas, memories, dreams of a person, and that could be downloaded/extracted and can be used for different purposes. Neurological diseases can be cured by this technology.

This project seeks to create a simplified version of a smart wearable belt that can assist blind people with navigation, using a sensible and compact design for the electronic equipment. The design includes an embedded system, and could potentially incorporate machine learning algorithms to detect potholes and other irregularities on the road. The goal is to develop a smart belt that can help blind people travel independently without the use of a cane. The Electronic Blind Mobility Aid is a technology that uses sensors put on a belt worn around the waist to allow blind persons to travel independently. This advanced technology can help many people with visual impairments to travel independently. Blind people often face obstacles that can make it difficult for them to travel alone, but a blind belt can extend their range of perception by serving as an obstacle detector. Visually impaired people often use their hearing to compensate for their reduced eyesight, and can recognize sound sources. This technology enables blind persons to travel independently and receive obstacle alerts via headphones and speakers using sensors installed on a belt that is worn around the waist. Blind people can utilise this approach every day to find potential hazards, roadblocks, and pathways. In the end, this technology will serve to increase the independence of blind individuals and give them more confidence when they travel. To notify users of potential dangers, the device has a buzzer that produces vibration signals and emits a warning sound. Both the sound frequency and the vibration frequency rise as the space between the elastic gloves and the barriers gets smaller. The design incorporates a buzzer and motor in addition to the capability to notify the proper person in case of an emergency.. The goal of this study is to provide a low-cost, effective means of helping blind individuals travel more easily, quickly, and confidently. This design provides a quick-response, cost-effective, and portable solution. This device can let blind persons traverse their environment more safely and confidently by employing sound and vibration cues to notify the user of impediments.

The principle objective of this project is to analyse and design a multi-storied building {G + 2(3-dimensional frame)} using STAAD Pro. The design involves load calculations manually and analysing the whole structure by STAAD Pro. The design methods used in STAAD-Pro analysis are Limit State Design conforming to Indian Standard Code of Practice. STAAD. Pro features a state-ofthe-art user interface, visualization tools, powerful analysis and design engines with advanced finite element and dynamic analysis capabilities. From model generation, analysis and design to visualization and result verification, STAAD. Pro is the professional’s choice. Initially we started with the analysis of simple 2-dimensional frames and manually checked the accuracy of the software with our results.

Automated Teller Machines are widely used nowadays by people. But it’s hard to carry their ATM card everywhere, people may forget to have their ATM card or forget their PIN number. The ATM card may get damaged and users can have a situation where they can’tget access to their money. In our proposal, use of biometrics for authentication instead of PIN and ATM card is encouraged. Here, The Face ID is preferred to high priority, as the combination of these biometrics proved to be the best among the identification and verification techniques. The implementation of ATM machines comes with the issue of being accessed by illegitimate users with valid authentication code. The users are verified by comparing the image taken in front of the ATM machine, to the images which are present in the. If the user is legitimate the new image is used to train the model for further accuracy. Thissystem uses open CV to process the image being obtained and Hear Cascade Classifier to detect the faces in the image. The face recognitions done using Local Binary Pattern.

Developers are often reluctant to adapt tothe new framework since they need to allocate time in training and adapt. This study aims to determine the need for benchmarking JS and ReactJS application in a developer’s viewpointcontributing detailed attention to React features and, in this context, evaluating the gap in comparing JS and React applications by considering the performance as principal criteria. To testthe hypothesis, considered optimizedmethods, coding standards, and bestpractices using proper design andstructure, using event listeners in JS, react-virtualized list, avoiding mutated values, and considering the production environment in React JS applications. The results showed a massive difference in the performance between the applications in high traffic situations sincethe React application uses virtual DOM that rendered what is needed at that point,making ReactJS approximately 97% faster than JavaScript. On this basis, React should be considered fordeveloping apps as its advantagesoutweigh its disadvantages, making it easy to migrate for any organizations or developers.

HAR is a field of study that aims to develop algorithms and techniques for automatically identifying and classifying human activities. Different people can execute an activity in various ways, and the same action might have numerous versions. Modern human activity recognition systems are largely taught and utilised on video stream and picture data in order to identify the features and activities, variations in the data having similar or related movements. Human-to-human and human-computer contact both heavily rely on human activity recognition. Systems that are manually operated take much longer and cost more money. The goal of this project is to develop a quicker, more affordable system for recognizing human activity and detect threats proactively through live camera. This system will help the end user in a variety of applications, such as surveillance and assistance in examination centres, hospitals, restricted areas, banks etc. by identifying the activity being carried out in the video or picture and give out alerts if detected any suspicious activity. Not only will this system be affordable, but it also functions as a utility-based system that can be integrated into a variety of applications to speed up and assist with various tasks that require recognition, which will result in significant time savings and high accuracy.

Anytime a need occurs, this Android Application for the Safety of Women and this app can be triggered with a simple click. A single click on this programme locates the location of the place using GPS, sends a message to the registered contacts containing the location URL, and calls the first registered contact to assist the user in dangerous situations. This software may be launched by a special click if the user thinks she is in danger.It is utilised to send messages every few seconds updating the recorded contacts on the consumer's location. Because of this, it acts as a guard, following the customer until she starts to feel uneasy. This study suggests a fresh technique for introducing the idea to the recorded contacts progressively up until they press the "HELP" knob. It is possible to swiftly and possibly cautiously find the victim's neighbourhood using SMS's ongoing location monitoring information. The goal of this request is to protect women. By addressing the resources that today's world's daughters' security is threatened by, this is resolved. Our programme makes sure that wives are not buried in the aforementioned positions through a variety of capabilities provided by our plan.

Inside the modern-day profession steering system, there are distinct counsellors available who provide individual counselling to help college students to pick their profession in a scientific way. There are numerous web sites to be had to conduct on line character check, aptitude test, personal interest takes a look at, domain take a look at too are expecting which professional area a specific pupil should choose. Knowledge the contemporary schooling trend and suggesting the most suitable area correctly is very tough venture in career steering system. So, college students are not appeared to be glad by way of the current machine due to inconsistent end result and consequently an application is needed that could generate a good deal correct end result. For that reason, Survey was taken if you want to recognize what troubles they face so that we attempt to conquer those problems for the imminent era. We will be enforcing 2-3 gadget studying algorithms accompanied by means of trying out and the one so as to give more accurate outcomes may be taken into consideration.

Crop diseases are a major threat to food security, but their rapid identification remains difficult in many parts of the world due to the lack of the necessary infrastructure. The combination of increasing global smartphone penetration and recent advances in computer vision made possible by deep learning has paved the way for smartphone-assisted disease diagnosis. We collected an fixed dataset of images of plant leaves of healthy and infected plants. The user interface is developed as an Android mobile app, allowing farmers to capture a photo of the infected plant leaves. It then displays the disease category along with the confidence percentage. It is expected that this system would create a better opportunity for farmers to keep their crops healthy and eliminate the use of wrong fertilizers that could stress the plants.

This article offers an overview of the dynamic intersection of artificial intelligence, robotics, and their impact on economic and organizational dynamics. We delve into the burgeoning research streams that explore the multifaceted consequences of these cutting-edge technologies in the fields of economics and management. Drawing from the diverse approaches adopted by scholars in this field, we provide insights into the implications of artificial intelligence, robotics, and automation for organizational design and firm strategy. We call for increased attention and involvement by organizational and strategy researchers in these areas and outline promising avenues for future research endeavors

The main objective of this article is to assist blind persons who have no human needs. Notably, anytime a blind person needs help, a hand is always there for them. The blind people's safety or ability to accomplish their goals isn't always guaranteed when they utilise this stick. The person may not feel any potential obstacles in their route if they use the stick. Notably, anytime a blind person needs help, a hand is always there for them. In any case, there is no assurance that using this stick will protect persons who are blind. The person using the support of the stick doesn't sense any obstructions in their way, despite there possibly being any. Therefore, if the obstruction is too great or dangerous, the people could suffer harm. In this study, a blind stick is designed and created to aid the blind and provide them with a clear path. The system consists of an ultrasonic sensor attached to the user's stick. As the user moves the stick forward, the ultrasonic sensor and Arduino Mega mounted to the stick try to detect any impediments in their way. When the sensor detects an obstruction, the output of the receiver triggers, and the microcontroller can notice this change because the output of the receiver acts as inputs to the microcontroller. This device recognises what is in front of the user and replies by vibrating or by posing a question. After that, the person can walk around without being afraid. This device will offer the best solution for a visually impaired person's issues.

The location of the Annasaheb Dange Group of Institute,Ashta is a part of community that can be made into attraction for stakeholders like students, parent and society, for ed- ucational brilliance including scenic views, as well as trees and plants. The educational institute has undertaken various efforts to share the information about academic excellence as cultural and sports excellence through portals and web pages. However, the method of information delivery - display and delivery of static text and pictures which is not that effec- tive to the viewers eyes.

Failure of Hard Disk is a term most companies and people, fear about. People get concerned regarding data loss. Therefore, predicting the failure of the HDD is an important and to ensure the storage security of the data center. There exist a system named, S.M.A.R.T. (Self-Monitoring, Analysis and Reporting Technology) in hard disk tools or bios tools which stands for Self-Monitoring, Analysis and Reporting Technology. Our project will be predicting the failure of hard drive whether it will fail or not. This prediction will be based on Machine Learning algorithm. S.M.A.R.T. values of hard disk will be extracted from external tool.

Austenitic stainless steel is widely used materials in the current industrial area including higher and lower temperature applications such as storage tanks, pressure cups, furnace equipment etc. Using ratio of those materials are increasing constantly due to having superior corrosion resistance and mechanical properties, GTAW process are widely used for stainless steel welding, especially for full penetration welds in thin gage materials. Selection of shielding gas and filler material is crucial parameter for the quality, the micro structure and properties of weldments. The weldment properties strongly depended on the shielding gas, since it dominates the mode of metal transfer. Shielding gas not only affects the properties of weld but also determines weldability, the appearance, the shape and penetration of bead as well. Pure argon is mainly used for GTAW as shielding gas at present. The most common shielding gases are argon riches mixtures, such as argon with a few percent helium, carbon dioxide, hydrogen, oxygen, nitrogen for GTAW process. In this project we will be made many attempts for made test pieces(SS410) to predict the process parameter of MIG for getting maximum weldment, best mechanical properties and min HAZ. The planned experiments are conducted in the MIG are welding machine; the test piece examination is carried out by following process

The project assigned to me was to study the financial health of any organization in the country. I decided to choose one of India’s largest companies in a sector that has rapidly grown over the last few years and a company where leaders like Mr. Dhirubhai Ambani, or rather, a company that has been made Mr. Dhirubhai Ambani. Through this report, I try and analyze the financial environment in which Reliance Industry Limited is operating. Through a thorough financial analysis, my aim to understand the financial factors is influencing the company and its decision making. Later, I try and evaluate the various ratios to appreciate their impact on company’s performance over the last four years. The financial statements of last four years are identified, studied and interpreted in light of company’s performance. Critical decisions of distributing dividends, Issue of bonus Debentures and other current news are analyzed and their impact on the bottom line of the company is assessed.

In this paper, we review, Micro-strip patch antenna and Substrate Integrated Waveguide Technology (SIW). Horn Antennas have become attractive due to their inherent feature of being one of the solutions to many requirements associated with high-frequency bands. This paper presents a comparative study of different horn antennas, their operating frequencies, associated parameters and applications in terms of frequency bands also using the SIW technique, the construction of planar horn antenna is studied at K band and X band frequencies.

Box culverts are the structures which are used when the path of water in the natural stream crosses roads, railway lines, flyovers etc. They are normally cheaper than bridges, which make them the natural stream passes through channels. In this work, the review of various authors and their views in the design and analysis of box culvert with software approach and comparison between software and manual approach has shown. The IS standard requirements in the design manual for roads and bridges (IRC-6-2000, IS 21-2000) is used in the structural designing of concrete box culverts. In this paper study about the different classes of IRC loadings and their effect on without and with cushioning conditions imposed on box culvert. The pressure cases are then checked for both with cushioning and without cushioning loading cases. The structure designing includes the considerations of pressure cases (Box empty, Full, surcharge load) and factors such as Impact load, Braking force, Dispersal of load through fill, Effective width, Coefficients of earth pressure, Live load etc. The structural elements are designed to withstand the maximum bending moments and shear forces respectively. In the present study, this paper provides full discussion on the provisions in the codes, considerations and justifications of all the above aspects of design.

In this paper, we present a detailed chronological analysis of the achievements in autonomous automation, which is an area of interest for researchers. This paper can be useful for understanding the trends in autonomous vehicletechnology in the past, present, and future. The technology of autonomous vehicles has drastically changed since the 1920s, when radio controlled vehicles first appeared. Electric cars powered by embedded circuits on the road became fairly autonomous in the next few decades. By the 1960s, autonomous cars had similar electronic guide systems. The 1980s saw the introduction of vision guided autonomous vehicles, a major milestone in technology that we continue to use today. In modern cars, semi-autonomous features such as lane keeping,automatic braking, and adaptive cruise control are based on these systems. An extensive network of visionguided systems is the future of autonomous vehicles. It is predicted that the majority of companieswill launch fully autonomous vehicles by the turn of the century. We are entering an era of safe, comfortable, and efficient transportation with autonomous vehicles.

Mini dams offer a lifeline to communities during the dry season. The paper discusses issues related to Flood condition, the paper explores, the development, operation, and management of mini dam on Adan River. the main goal of this project to protect the bori gosavi from flood and gives potable amount of water as per future demand. Flood condition is more severe in Bori gosavi because of its location placed on the bank Adan River and in summer season, they are facing the problem of water scarcity due to their adverse planning of storing water. the one of the solution on this problem is to throw back the river water and store the water by constructing mini dam on Adan river away from few kilo-meters of bori gosavi.Dam play’s an important role in the provision of many kind of benefits such as drinking and irrigation, water supply, small hydro power generation, fishing and so on this will increase the agricultural growth of farmers by providing sufficient amount of water.This dam will help to villagers to increase the agricultural protection and the safety unconfined flood condition.

The speed and capacity of magnetic field simulation and recent advances in power electronics have led to significant growth in the field of wireless power transfer. Electric vehicles are being investigated as possible alternatives to internal combustion engine vehicles in the future transport sector, especially for his CO2 reduction and alternative energy objectives. However, the vehicle's heavy weight, large capacity and limited range mean that many important issues need to be addressed. This paper presents a new dynamic wireless on-road charging system for electric vehicles.

The traditional method of setting a question paper by a particular person teaching in the university. This method is limited in terms of the number of questions, the difficulty of the question paper, and the experience of the lecturers. Generating large question banks can aid in generating a question paper with a random difficulty level. This can be useful for schools, colleges, autonomous Institutes, and Universities. We propose, designing a portal that allows the lecturers from various institutes to log in and submit the questions to the board and another login for the board or the administrators who can check all the questions and validate the questions so that the question paper or a question bank can be, generated automatically by the system. Lecturers can set the level of difficulty i.e., Easy, average, and difficult for each question while submitting the questions and board members can instruct the automatic question paper generator system to set the difficulty of question paper by allotting the number of questions to be picked from each difficulty type. The system will detect the questions that have the same semantics but a different representation to avoid ambiguity while generating the question paper

The exponential rise in the production of plastic and the consequential surge in plastic waste have led the scientists and researchers look out for innovative and sustainable means to reuse/recycle the plastic waste in order to reduce its negative impact on environment. Construction material, converting waste plastic into fuel, household goods, fabric and clothing are some of the sectors where waste plastic is emerging as a viable option. Out of these, construction material modified with plastic waste has garnered lot of attention. Modification of construction material with plastic waste serves a dual purpose. It reduces the amount of plastic waste going to landfills or litter and secondly lessens the use of mined construction materials, thereby mitigating the negative impact of construction industry on environment. This article summarizes advances related to the use of plastic waste as a component of building materials. The inclusion of plastic waste as a binder, aggregate, fine aggregate, modifier or substitute for cement and sand in the production of bricks, tiles, concrete and roads has been comprehensively considered. The effect of the addition of plastic waste on strength properties, water absorption, durability, etc. was also discussed in detail. Studies reviewed for this review were categorized according to whether they used plastic waste to produce bricks and tiles or concrete for road construction.

Communication is a very important part of our Human life to express feelings and thoughts. People like the Deaf & Dumb always face difficulty as they cannot speak in their regional languages. Language performs a very important role in communication, it can be verbal i.e. using words to speak, read and write or non-verbal using facial expressions and sign language. So, people like the Deaf and Dumb have the only choice to speak in Sign language means non-verbal. However, Sign language is a very important mode of their community. But it is difficult for people who are unaware of sign language. Hence, here is a system “Sign Language Recognition System Using Open CV and Convolutional Neural Network”. We proposed a system that converts sign language to their appropriate alphabet, words in a standard language to make easily understood by all. We also make some default gestures that we daily use in our day-to-day life. The project works on a learning algorithm, it requires the collection of datasets which includes images of each alphabet, and digits to train the model. For the classification of the image convolutional neural network is used. Also for accessing the camera and taking input we used an open cv.

Progressive collapse occurs when one of the structural members fails, causing other structural members to fail. This leads to the collapse of all or part of the structure. Failure of a vertical structural member is the most common cause of progressive structural collapse Explosive charges, accidents or deliberate destruction can cause the column to fail and collapse. The analysis is performed by removing the columns at different locations one by one according to General Service Administration (GSA) guidelines, and then evaluating the radius and column DCR values. The results concluded that the column removed from the center is more vulnerable to progressive collapse.

Journal Bearing is used to bear the load and confine the rotation of the shaft. A loaded rotating journal (Shaft) is supported by circular bushing (sleeve or bearing), the diameter of bearing is slightly more than diameter of journal, to provide the clearance so proper supply of lubrication oil is possible, which can enhance the performance characteristics of journal bearing. Journal bearing are mostly used to carry the radial loads of shafts working in dry and lubrication conditions. Journal bearing is used in various applications like sugar mill bearing, cement industry and turbine etc. The hole or groove is provided on bearing for the supply of lubricant. Journal bearings are most suitable for low temperature applications with slow speed. The common reasons for failure of journal bearing are the wear and temperature of journal bearing. The bearing is worn out and leading to wear particles in lubricants, heavy vibrations may be cause by rubbing oil whirl.

The lateral-torsional buckling behavior of I-beams with web openings has been a topic of interest among structural engineers for many years. The presence of a web opening in the beam can significantly affect its strength and stiffness, making it more prone to buckling failure. Therefore, understanding the buckling behavior of I-beams with web openings is crucial for the design of steel structures. Finite Element Analysis (FEA) has become a widely used tool for investigating the behavior of structures under different loading conditions. In this study, FEA was used to analyze the lateral-torsional buckling behavior of I-beams with web openings. The software used for the analysis was ETABS, which is a widely used software for analyzing and designing buildings and other structures. The objective of the study was to investigate the effects of different web opening shapes, sizes, and locations on the buckling strength of the beam. The FEA simulations were validated using experimental data available in the literature. The study analyzed different types of web openings, such as circular, rectangular, and elliptical shapes, and various sizes and locations of the web opening along the beam span. The results of the study showed that the presence of a web opening significantly reduced the strength and stiffness of the I-beam, making it more susceptible to buckling failure. The location of the web opening had a more significant effect on the buckling behavior than its size and shape. The results of the FEA simulations were found to be in good agreement with the experimental data available in the literature, which validates the accuracy of the ETABS software in predicting the buckling behavior of I-beams with web openings

Existing structures must be modified, repaired, restored, or rebuilt in today's society due to a variety of circumstances, including the loss of the bond between the beam and column joint, corrosion-related damage, natural disasters, etc. These elements cause our buildings to break, rendering them useless. Consequently, these structures need to be modified. The experimental study on RC beams with one-way and two-way CFRP plates is presented in this publication. This study's primary goal is to examine how RC beams behave after being retrofitted with CFRP plates.

The ongoing development of artificial intelligence and machine learning is enabling robots to become more observant. This advancement allows robots to be utilized in situations where humans may not have control. One example is the use of delivery robots for "last mile" delivery services. These robots can be remotely controlled by an operator in cases where they encounter obstacles. Delivery robots have various applications such as room service, package delivery, food delivery, and hospital deliveries. A research study focused on developing an algorithm that enables autonomous path generation using a GPSbased coordinate system. The algorithm allows the robot to create its own path between its current position and the destination using GPS co-ordinates.

This Paperwork focuses on the comparison of seismic analysis of Modern office building design. The performance of the building is analyzed in Zone II, Zone III, Zone IV, and Zone V. The study includes understanding the main consideration factor that leads the structure to perform poorly during the earthquake for humans. Provision of shear walls are installed is installed to enhance the lateral stiffness, ductility, minimum lateral displacements, and structure safety to enhance the lateral stiffness, ductility, minimum lateral displacements, and safety of the structure. Storey drift and lateral displacements are the critical issues in seismic design of buildings. Due to the Industrial revolution, availability of jobs and facilities, population from rural area is migrating towards cities. Because of this metro cities are very thickly populated. Availability of land goes on decreasing and land cost also increases. To overcome this problem the use of multistoried buildings is necessary. But such provisions increase self-weight and live load along with earthquake forces. With increase in height stress, strain, deformation and displacement in the structure, the cost of construction increases due to increased cross-sections of the elements. Multi-Storey buildings are designed to carry gravity loads, earthquake loads and their combinations. I.S. codes provide these loading combinations for which structure needs to be analyzed and designed. The analysis is aimed at finding the internal forces in component of structures and to find displacements developed in the structure leading to the development of strains. Structure must be safe from both strength viewpoint and serviceability as well. While vertical forces are most significant, the primary problem for most structures is force in the horizontal or lateral direction, which tends to subject buildings to large horizontal distortion. Therefore, most buildings are designed with lateral-force-resisting systems to resist the effects of earthquake forces. Bare frames are found to be more flexible and have large section requirement to with stand forces induced.

This is a project of public interest and the child's immune system is particularly fragile following the corona phase. Water testing is so crucial, and this is the most crucial truth. why did we select this topic? We believe that the majority of the disease-causing bacteria are present in the water, which is the only reason we are testing the water sample. It is an environmentally friendly and crucial project for Yavatmal City because it is located in a hilly area and that most schoolchildren are no longer attending because of health concerns. Water is a valuable resource, and life on earth is impossible without it. Due to excessive and negligent use, water is becoming more and more polluted, and as a result, less and less of it is available for human use. Water pollution can be caused in a variety of ways, and both living things and non-living things are negatively impacted. In current situation water is a more contaminated that’s why it is verry essential to check the quality of water. The causes of water pollution include sewage systems, industrial waste, acid rain, the oil industry, aquatic plants, and household garbage. We studied environmental engineering in the previous section, when we looked at the water quality found in nature. It is well known; the quality of the water is not verified after a corona. As a result, we are undertaking this endeavour for public benefit.

Sentiment analysis and opinion mining is an area that has experienced considerable growth over the last decade.Todo this, natural language techniques and machine learning algorithms are used. This research attempts to determine the feelings, opinions, emotions, among other things, of people on something. A hybrid approach that combines an unsupervised machine learning algorithm with techniques from natural lan- guage processing is proposed to analyze reviews. The first aimof this analysis is to automatically determine the orientation of a review.This article discusses the problem of extracting sentiment and opinions from a collection of reviews on scientific articles conducted under an international conference on computing in northern Chile.

Paper batteries are a new class of flexible, lightweight, and low-cost energy storage devices that have the potential to revolutionize the way we use and interact with energy. They are formed by combining carbon nanotubes with a conventional sheet of cellulose-based paper, resulting in a thin and flexible device that has a high specific energy and power density. In addition to their energy storage capabilities, paper batteries can also be used as a platform for the integration of other functional materials and devices, such as sensors, transistors, and energy harvesting elements. This makes them a versatile and multifunctional technology with a wide range of potential applications, including in portable electronic devices, smart packaging, and wearable technology. In this paper, we review the current state of the art in paper battery research and development, including the materials and fabrication methods used to create these devices, their electrochemical performance, and their potential applications. We also discuss the challenges and opportunities that lie ahead for the further development and commercialization of paper batteries.

In this paper, we have proposed a model for a smart video player which would have two main features .One is the simulation using hand gesture technique and second one is the emotion detection of the video using CNN (ML Algorithm).This model gives an accuracy of 90-96% and hence can be studied for further process .This model yields better results than other models in all aspects.

The main background of this study is the desire to create materials through sustainable methods that will be environmentally friendly and have low-cost production. Most authors have focused on developing aluminum matrix composites through various inorganic reinforcements. These AMCs have improved mechanical, physical, chemical, and thermal properties as well as improved wear and corrosion resistance. This paper studies alternative reinforcement materials that are organic, inexpensive, and easily available which can be used in place of inorganic reinforcements. Based on the literature that has been studied, various organic reinforcements like aloe vera, coconut husk, rice husk, and so on have been used for developing aluminum matrix composites. It was discovered that the addition of organic materials as reinforcements results in improved mechanical and physical properties of the composite materials, based on the literature review.

Green communication aims at addressing the exploration of sustainability regarding environmental conditions, energy efficiency, and communication purpose mainly on mobiles. Green communication is a duty to strengthen corporate responsibility towards the environment and motivate an ecological generation of network equipment and systems. The paper attempts topresent the latest research in green communications using Ambient Backscatter. Recent ideas of mobile technology involve the growth in the number of equipment exploited every day which has resulted in the requirement to innovate in the field of energy-efficient communications. The paper presents a literature survey on the protocols to improve energy efficiency in green communication networks. It elaborates on the various aspects of analysis, design, distribution, and expansion of protocols, and architectures of green communications and networking. We firstpresent the fundamentals of backscatter communications and briefly review bistatic backscatter communications systems. The general architecture, advantages, and limitations of ambient backscatter communications systems are discussed. Additionally, emerging applications of ambient backscatter communications are highlighted, and we outline some open issues and future research.

We give an outline of camera-based computer vision technology in this paper. It can aid those who are not visually blessed in instantly identifying paper currency. For those who are blind or visually challenged, an effective paper money detection algorithm should have the following qualities: 1) Complete precision; and 2) adaptability in a range of circumstances in various environments and emergence. Many of the currency identification algorithms in use today are constrained to specific situations. We suggest a deep learning strategy focused on high accuracy in this project. This method works well for gathering more class-specific data and is better at handling partial closure and viewpoint changes. Evaluation of transfer learning also demonstrate its efficiency in coping with visual rotation, measures, and illumination changes.