Volume 11 | Issue 4 |

 Abstract

Web-AI is a web-based platform that offers a range of artificial intelligence services to users. With the growing demand for AI-based solutions, Web-AI aims to provide a comprehensive and user-friendly platform for individuals and businesses to utilize. The platform provides a variety of AI services such as a simple prediction system, OCR, speech-to-text, sign language detection, emotion recognition, and image Up-scaling.Web-AI is a powerful and comprehensive platform for individuals and businesses looking to leverage the latest AI technologies. The platform is designed to be user-friendly, accessible, and optimized for performance and accuracy. With its range of AI services, Web-AI provides a one-stop-shop for all AI-related needs, making it an invaluable resource for anyone looking to utilize AI for their personal or professional needs.

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 Keywords

Artificial Intelligence, Machine Learning, Supervised Learning, OCR, Speech-to-text, Sign Language Detection, Emotion Recognition, and Image Up-scaling.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Today, the battlefield is an essential element of any national security. One of the main roles played by an army soldier. Various measures were taken to protect the soldiers. Therefore, for their safety, they can use many instruments to observe their health. Bioprobe systems include different types of biosensors, delivery systems, and processing capabilities, facilitating low-cost, non-invasive wearable health monitoring solutions. GPS is used to find the longitude and latitude so that location of the soldier can be easily known. These devices are attached to weapons and clothing, and some armies like the Israeli army are exploring the possibility of integrating GPS devices into soldiers jackets and uniforms so that base stations can monitor their soldiers in real time scenarios.

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 Keywords

Heartbeat Sensor, Temperature sensor, GPS

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Robots are increasingly being used in the hospitality business, with applications ranging from artificially intelligent chat-bots aimed to aid with customer service to robot assistants. Part of the reason why robots have become a prominent technological trend in the hospitality business is that concepts like automation and self-service are becoming increasingly important in the customer experience. The usage of robots has the potential to enhance speed, cost-effectiveness, and even accuracy. Chat-bots, for example, enable a hotel or travel firm to give 24/7 help via online chat or instant messaging systems, even when staff is absent, resulting in incredibly fast response times. Meanwhile, a robot employed at check-in can expedite the entire procedure.

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 Keywords

LCD screen, WI-FI module, Bluetooth module, Temperature sensor, telegram.

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 Abstract

Diabetes mellitus is a common non communicable disorder of the developing countries. The worldwide prevalence of Diabetes mellitus has arisen dramatically over the past two decades, Diabetes Mellitus is a group of metabolic diseases in which a person has high blood sugar, either because the pancreas does not produce enough insulin, or because cells do not respond to the insulin that is produced. All forms of diabetes increase the risk of long-term complications. These typically develop after many years, but may be the first symptom in those who have otherwise not received a diagnosis before that time. The research approach selected for the study is Quasi experimental research design [ one group pre and post test with control group ]. 60 patients were selected through Nonprobability - Convenient Sampling Technique. In that 30 were assigned as experimental and 30 were assigned as control group. The tool developed and used for data collection was structured interview and observation schedule. First data was collected from experimental group and then followed by control group. Pre test fasting and post prandial blood sugar was measured in experimental and control group before intervention. 25 gm of sprouted fenugreek seeds was administered in early morning before breakfast for clients in experimental group for 28 days. The conceptual framework based on modified J.M.Kenny's open system model. The collected data were analysed based on the above mentioned objectives using descriptive and inferential statistics. The findings of the study showed that there was a significant (P<0.001) reduction in blood glucose level after administering sprouted fenugreek seeds in experimental group.

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 Keywords

sprouted fenugreek seeds, blood glucose level, type 2 diabetes mellitus.

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 Abstract

: Automation is a great solution of this problem. So we make an autonomous floor cleaning robot that operated by internet of things and Arduino Nano programming. Ultrasonic sensor is the most important component for autonomous floor cleaning robot because ultrasonic sensor works as eyes of robot. Ultrasonic sensor useful for turning of robot by sense the obstacle or wall. Sensing distance range of robot set by Arduino Nano programming. In this range robot sense the obstacle and turn back. Households of today are becoming smarter and also more automated. Home automation delivers convenience and creates more time for people. Domestic robots are entering the homes and peoples daily lives, but it is yet a relatively new and immature market. However, a growth is predicted and adoption of domestic robots is evolving. Several robotic vacuum cleaners are available on market but only few ones implement wet cleaning of floors. Purpose of this project is design and implement a Vacuum Robot Autonomous and Manual via Phone Application named as blynk. Vacuum Cleaner Robot is designed to make cleaning process become easier rather than by using manual vacuum. The main objective of this project is to design and implement a vacuum robot prototype by using Arduino Nano, motor driver Ultrasonic Sensor and to achieve the goal of this project. Vacuum Robot will have several criteria that are user-friendly.

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 Keywords

FLOOR CLEANER USING AURDUINO AND BLUETOOT

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 Abstract

The project's goal is to create a women's safety device that makes use of a number of cutting-edge technologies to guarantee the user's safety. A Node MCU microcontroller, a GPS module, a GSM module, a camera module, a fingerprint scanner, and a buzzer are all components of the gadget. When an emergency arises, the system uses the GPS module to track the user's location and the GSM module to transmit an SOS alert to the user's registered emergency contacts. The camera module records pictures and videos of the surroundings, which can help find the offender. The smartphone has an additional layer of protection thanks to the fingerprint scanner, which makes sure that only authorised users can use it. In the event of an emergency, the buzzer can be used to.

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 Keywords

NodeMCU ,Camera, Finger Print Scanner, Buzzer, GSM, GPS

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 Abstract

Attendance marking in a classroom during a lecture is not only an onerous task but also a time-consuming one. Due to an unusually high number of students present during the lecture, there will always be a probability of proxy attendance(s). Attendance marking with conventional methods has been an area of challenge. The growing need for efficient and automatic techniques for marking attendance is a growing challenge in the area of face recognition. In recent years, the problem of automatic attendance marking has been widely addressed through the use of standard biometrics like fingerprint and Radiofrequency Identification tags, etc., However, these techniques lack the element of reliability. In this proposed project an automated attendance marking and management system is proposed by making use of face detection and recognition algorithms. Instead of using conventional methods, this proposed system aims to develop an automated system that records the student's attendance by using facial recognition technology. The main objective of this work is to make the attendance marking and management system efficient, time-saving, simple, and easy. Here faces will be recognized using face recognition algorithms. The processed image will then be compared against the existing stored record and then attendance is marked in the database accordingly. Compared to the traditional attendance marking system, this system reduces the workload of people. This proposed system will be implemented with 4 phases Image Capturing, Segmentation of group image and Face Detection, Face comparison and Recognition, and Updating of Attendance in the database.

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 Keywords

Attendance Management, Computer Vision, Deep Learning, Human Face Images.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Swami Dayanand Saraswati is world famous as a great scholar of Veda Shastras, social reformer and promoter of Arya Samaj. He was the first person of this era, who legislated for compulsory education for all and implemented it by making a revolutionary declaration of equal right to education for human beings. He is the first Indian who propounded the principle of equality of man and equal opportunity for all in the modern era. A new era in the development of Indian nationalism begins with the religious and social reform movements of the 19th century. At this time the society was polluted by evils such as Sati Pratha, Caste system, Child Marriage, idol worship, untouchability etc. At this time, due to the propaganda being done by Christian missionaries, people's attention was getting attracted towards Christianity and they were becoming indifferent towards Hinduism. At this time there was a renaissance in the country and various reformers made many improvements in the social and religious condition of the country, due to which the construction of modern India was encouraged. Swami ji enlightened the glorious past of India and inspired the countrymen to rise above their exploited condition and move towards the future. Swami Dayanand Saraswati got more fame as a social reformer than in any other field. Swami Dayanand's first main task towards social reform was to oppose untouchability. Swami ji believed that in the absence of proper education, all-round development of any country cannot be possible. Swami ji emphasized on the character building of the youth and taught them the lesson of true illegal fearlessness. Swami ji used to emphasize on the upliftment of the entire human race in his social thoughts, he also supported the Vedic ashram system. Swami Dayanand considered education important in the context of the unity of the country and rendered the fact that Hindi language must be prevalent in the whole country to unite the country in the thread of unity. Swami Dayanand Saraswati was in favor of compulsory education. He emphasized on adopting such an education system which is completely national and which produces such citizens who have a sense of duty and responsibility towards the society. Swami Dayanand was not only a religious reformer, he also felt acutely the political plight of India's subjugation. Dayanand was the first to raise the voice that self rule should be established in India by ending foreign rule. According to Swami Dayanand, Vedas are the only evidence to know the truth. Whatever is according to the Vedas is true and whatever is against the Vedas is untrue. According to him, religion cannot be many because God is one, therefore religion is also one. Swami Dayanand believed in such a religion which is universal and whose principles are accepted as truth by all human beings. Swami Dayanand gave a liberal interpretation of religion and emphasized on one God.

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 Keywords

Equality, Propaganda, Religion, Reformer, Liberal, Upliftment, Untouchability

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 Abstract

Many applications, such as surveillance, object detection, object tracking, etc., have benefited greatly from the use of convolutional neural networks. There is extensive study for CNNs are used for face recognition, a crucial component of surveillance applications. Recent years have seen a significant increase in the application of face recognition technology in university automation systems, smart entry management systems, etc. The procedure of gathering student face data is included in the unique CNN architecture for face recognition system that is proposed in this study. It has been demonstrated experimentally that the suggested CNN design offers 99% accuracy. The "Smart Attendance Management System (SAMS)," a web-based program that uses face recognition to provide attendance of students in real-time, is also developed utilizing the proposed CNN architecture. The suggested application is simple to deploy and keep up with.

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 Keywords

Facial recognition, Deep Learning, Data Augmentation, Convolutional Neural Networks (CNNs), Face Recognition Smart Attendance System (FRSAS).

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

To develop precise solar cell simulators or design a high-performance photovoltaic generation system, it is important to accu- rately understand the physical properties of solar cells. However, solar cell models have a non-linear form with numerous parameters. To obtain accurate parameter values, assumptions that differ from real operating conditions must be made to avoid com- putational complexity. In this paper, a new method for extracting parameter values is proposed. The proposed method deduces the char- acteristic curve of an ideal solar cell without resistance using the I-V characteristic curve measured and reported by solar cell manufacturers and calculates the difference between the deduced and actual measured curves. In addition, the precision of the proposed method is demonstrated by calculating the correlation between the I-V characteristic curve based on modeling parameters and the I-V curve actually measured employing the least-squares method.

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 Keywords

PV cell IV curves Parameter Extraction Photovoltaic cell

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