Readwell: A Book Recommender Android Application with a Point-of-Sales System

The COVID-19 pandemic has given people much free time. With this, the researchers want to encourage these people to read instead of scrolling through social media. A barrier to reading for many people is not knowing what to read and disinterest in popular books that they would find when they search online. The existing websites that encourage book reading rely on social networking for their recommendations, while the collaborative filtering algorithms applied to books do not exist in the mobile application form. Readwell is a book recommender Android app with a Point-of-Sales System created using Java, Python, and SQLite databases. The information regarding the books was web scraped from the Goodreads website. It aims to apply the more efficient collaborative filtering algorithm to an accessible mobile application that allows users to directly buy the books they are interested in, thus encouraging the reading and buying of books. The researchers created unit test cases to validate the different functionalities of the application. © 2022 IEEE.

Android Based Smart Appointment System (SAS) for Booking and Interacting with Teacher for Counselling

An appointment system is going to be popular nowadays. The necessity of these types of systems is increasing day by day specially in education sector. Worldwide COVID-19 pandemic provoke the demand of these types of application. In this research paper, an Android-based appointment is built for booking an appointment and communicating with the teacher. To use this system both student and teacher have to an android device with connection of the internet. A single android application will be used for both types of users. Students can get the information of all teachers and book an appointment with teachers and teachers can accept or decline this appointment. Java programming language is used for this system and Google's Firebase is used for the database. In addition, the modern coding Architecture pattern MVVM (Model- View-View Model) followed to build this system. Hopefully, this system saves valuable time and makes the teacher-student interaction journey easier. © 2023 IEEE.

Smart Embedded Framework of Real-Time Pollution Monitoring and Alert System

The sustainability and progress of humanity depend on a clean, pollution-free environment, which is essential for good health and hygiene. Huge indoor auditorium does not have proper ventilation for air flow so when the auditorium is crowded the carbon di-oxide is emitted and it stays there for many days this may be a chance to spreading of COVID-19 and other infectious diseases. Without proper ventilation virus may present in the indoor auditorium. In the proposed system, emissions are detected by air, noise, and dust sensors. If the signal limit is exceeded, a warning is given to the authorities via an Android application and WiFi, and data is stored in cloud networks. In this active system, CO2 sensor, noise sensor, dust sensor, Microcontroller and an exhaust fan are used. This ESP-32 based system is developed in Arduino Integrated Development Environment (Aurdino IDE) to monitor air, dust and noise pollution in an indoor auditorium to prevent unwanted health problems related to noise and dust. More importantly, using IoT Android Application is developed in Embedded C, which continuously records the variation in levels of 3 parameters mentioned above in cloud and display in Android screen. Also, it sends an alert message to the users if the level of parameters exceeds the minimum and maximum threshold values with more accuracy and sensitivity. Accuracy and sensitivity of this products are noted which is very high for various input values. © 2022 IEEE.

Beauty Face: An Android Application for Cosmetic Consumers to Try On and Receive Product Recommendation

Nowadays, the number of smartphone users shopping online over the internet is increasing due to the COVID-19 pandemic situation. People need to stay safe at home and work from home according to the social distancing policy. It is difficult for people to go shopping onsite at a physical store. Especially, cosmetic consumers cannot try on cosmetic products, and they are not sure which product is suitable for them. Therefore, to solve these problems, this research project proposes 'Beauty Face', which is an android application for cosmetic consumers who would like to try on products and receive recommendations. The Beauty Face application allows users to find the desired products and view product information. Also, it provides a useful feature for users to try on products by applying augmented reality (AR) technology to simulate cosmetic and beauty products on the user's face. Moreover, the Beauty Face application can recommend products that are appropriate for users by applying machine learning (ML) technology. The Beauty Face application can be helpful for cosmetic users to be more convenient in buying cosmetic and beauty products online and reducing chances of being infected or spreading COVID-19. © 2022 IEEE.

Development of an Android Application for Tracking Post COVID Symptoms

Patients with COVID-19 generally recover within a fortnight or a month. However, some patients, even those with milder types of the disease, experience symptoms after they have recovered. Symptoms of COVID-19 might continue for months at a time. The virus affects the heart, brain, and lungs, perhaps leading to long-term health-related problems. Thus, it is critical to keep track of any post-COVID symptoms to prevent further complications. Keeping that in focus, two apps are created to monitor these symptoms in people who have recovered from COVID 19 with comorbidities includes Diabetes, coronary artery diseases and hypertension. In this project, the patient's data was obtained from selected hospitals in Pune, and stored in Google Firebase. This data was used while making the backend algorithms for the apps. Android Studio and Figma were used to design and develop these apps. One app will be used by the patients, which allows them to post their health conditions if they are suffering with symptoms of post COVID complications and another App will be used by the investigators to monitor these symptoms and provides an access to post the advises pertaining to the patient's health condition. The biggest challenge is with patients suffering from conditions like hypertension, diabetes and other chronic illness which can be fatal if not monitored and addressed, specially for the elderly to frequently visit the hospital just for monitoring. The prime objective of the app developed in this work is to provide monitoring and to prevent post COVID complications and save the life of patients who have recovered from COVID and already have underlying issues. These apps allow researchers/Doctors to contact the patients personally to counsel them against the symptoms they are experiencing. Both these apps were tested in Android 8 Oreo and are functional in Android 8 Oreo, Android 9 Pie, Android 10, and Android 11 supported devices. These applications will soon be deployed in the Play Store. © 2023 IEEE.

Geometrical Tolerances Android Application Developed for Student for a Better Understanding of Orientation Tolerances According to the Latest ISO Standards

In the year 2021, a virtual reality training application has been developed, specifically for the Oculus Quest 2 headset, in order to allow the users to view and analyse 3D models for a wide variety of geometrical tolerances, tolerance zones and even the conformity condition and the datum features. This application allows the students to better understand the geometrical tolerances in accordance with the latest ISO GPS standards by using different 3D interactive models in order to highlight different types of geometrical tolerances and tolerance zones. In order to try to make the virtual reality training application more mobile and accessible for students, a mobile application, designed for the android operating system smartphones, has been developed. This application can facilitate better learning outcomes within the teaching-learning process by enabling the students to visualize a wide variety of 3D models representing different types of geometrical tolerances. Due to the dramatic evolution of technology in the past 20 years and the need to constantly keep up with it, the learning and teaching process suffered a massive change. The Covid pandemic has closed Universities all over the world and so, for the teaching process to continue, a sudden shift from traditional teaching to a more modern one involving the digital world was needed. Thanks for the fact that, nowadays, students are more inclined to use different types of mobile devices, the shift to the new learning paradigm has not left a great "scar” on student and teachers. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

CovScan: Smart non-contact IR-Temperature scanning and online database system integrated with RFID authentication

Considering the public safety in current COVID-19 out-break, an IOT (Internet of Things) based non-contact temperature monitoring system integrated with RFID authentication system with an interactive Android application, and a web-portal to manage users and temperature records has been proposed. Temperature screening has become essential for all the industries, educational institutions, factories and corporate sector. This system is an online real-time non-contact monitoring system with an interactive android application and user-friendly web portal that help end-users to monitor and keep a record of temperature variations of registered users on daily/weekly/monthly basis. The temperature records are saved in a real-time database which is embedded with the user's RFID card information. In case of an alert (high temperature), a notification is sent to the authorized personnel on their cellphones or their desktop systems via web portal. An alarm is also generated immediately on the device (buzzer and blinking LEDs) to indicate high temperature, alerting the nearby security staff. As per the survey and testing of the device under different temperature environments it has been found that the proposed system has an overall accuracy of 99%. © 2022 IEEE.

Android Application for Human Respiratory System Diagnosis: A Systematic Review

This paper presents a systematic review of android app respiratory system on smartphone. For some diseases, doctors have succeeded in inventing the necessary treatments that lasts for a short period, but in several cases, the treatment can stay for a lifetime. The goal of this system is to detect if a patient has any respiratory disease(s) by specifying the symptoms the patient encounters, schedules an appointement in the hospital for patient through the system to the linked specialist doctors to avoid contact in the case of Covid-19 patient. This research will help raise patient's awareness of the high risk of late discovery of having respiratory diseases (like Lung Cancer. corona virus etc), and also to develop a model that will help detect this disease early through mobile application. The focus of this review is to encourage medical institutions to adopt the health android app that can help patients in self-managing behavioral activities such as physical activities, using symptoms to determine the stage(early or critical) of the disease and drug suggestions with research evaluation using the app, this could help patients monitor and manage their health conditions. © 2022 IEEE.

Implementation of Haversine Algorithm and Geolocation for travel recommendations on Smart Applications for Backpackers in Bali

Bali is one of the islands known as a tourist destination with the main purpose of traveling to Bali to enjoy the beauty of nature. Various tourist activities in Bali are well known both nationally and internationally. With so many types of tours available in Bali, travelers, especially first-time visitors, may need a guide on the tourist attractions they want to visit in Bali. However, some tourists, especially backpackers, backpackers are known to explore tourist attractions independently, freely, and with as little budget as possible. Concerning this statement and the decline in tourists to Bali due to the impact of the Covid-19 pandemic, the author decided to use the Haversine formula to develop a geographic information system for smart backpacker travel recommendations. with this problem. This Android application helps tourists travel from registration to tour guides. Implementing the Haversine formula in your app is equivalent to up to 88% of the distance reported by the Google Maps API. These results are used as a recommendation function for the selection of attractions by showing the distance between the previous backpacker's location selection and attractions. © 2022 IEEE.

An Intelligent Food Serving Robot Prototype with Android Application for Canteens

As the world faces a COVID epidemic, one of the most critical rules to observe is social separation. There are some situations where social separation is difficult to maintain, such as canteens. The proposed technology equips a college canteen with an autonomous food serving robot, allowing us to preserve social distance. People in canteens confront challenges such as long lines and food service delays. When it comes to college canteens, students only have a limited amount of time for refreshment, resulting in a rush at the canteen. Our self-serving food robot will serve the food to the clients without fail;all they have to do is order meals using the mobile app. The system relies on a mobile application to place orders and a robot to deliver the food. Users will be able to summon the robot using the help button in the mobile app, which will result in canteen trash management. For routing and finding the best way to the table, we employ a combination of sensors and Radio Frequency Identifier (RFID) technology. Our solution will benefit the admin in addition to keeping the customers happy. Making a robot will be less expensive than hiring a human waiter. The system not only has a rechargeable wallet payment interface, but also net banking, card payment, and UPI payment possibilities. © 2022 IEEE.

Suspicious Permissions Detection of Covid-19 Themed Malicious Android Applications

The malicious actors continuously produce malicious Android applications with a COVID-19 theme in the context of the pandemic. Users frequently grant the necessary permissions to install those phoney apps without paying much attention. Android permissions are essential points of weakness. Major privacy issues often result from this vulnerability. Hackers with malicious intent have viewed the COVID-19 pandemic as an opportunity to conduct malware attacks to profit financially and advance their nefarious goals. Through COVID-19-related content, people are becoming victims of phishing scams. The android malware seen explicitly during the pandemic of Covid-19 is discussed in this study, and we next analyze malware detection methods with a focus on these Covid-19-Themed malware mobile applications. This research paper attempts to identify dangerous android permissions and the malware families that erupted during the Covid-19 outbreak. © 2023 IEEE.

E-Passport COVID-19 Adopting RFID Implants based on Microservices

COVID-19 has spread throughout the global and has restrained humans in all aspects of life including society, economy, education, etc. The first Corona virus appeared in China on 2019 and had mutated into several variants such as B.1.1.7 (Alpha), B.1.351 (Beta), E484Q (Delta), and BA.2 (Omicron). In order to block the virus to mutate and spread in the communities, we proposed a design of E-Passport by adopting RFID Implants with integrated Microservices technology. Our concepts is we design an android application (E-passport) that will be used by every institution on public places to stop the positive patients getting inside the public space to spread the virus. The checker in every public places need to scan the RFID implants on every humans hand by using NFC technology embedded on android phone with installed E-Passport to determine whether can enter or forbidden to enter. The RFID Implant stored a unique code that can be read as the reference of the person's data information stored in cloud database based on Microservices infrastructure. Our proposed design and architecture are dedicated to stop the COVID-19 virus to spread among public communities. © 2022 IEEE.

Android App to Monitor the Position of a Group of Robots in a Hospital

This article presents the design of an Application in Android operating system, with the aim of monitoring movements in real time through a 2D graphic representation system for a group of Mobile Robots with medical assistance capabilities, in a portable and economical way. In addition, to provide information about the robots positioning in Cartesian coordinates, percentage of current battery and state of operation during their navigation. The robots are link to an Android mobile device through wireless communication in MQTT or WiFi protocol, depending on the technical case available. As a basis of application there is in the first instance a Covid hospital, the need arises as a means of medical assistance between the patient with Covid symptoms and the doctor, nurses and support staff in their treatment and isolation, in order to avoid contact, contagion and the additional expense of wearing special clothing to treat the patient. © 2022 IEEE.

LFR Waiter: Arduino Based Android Application Controlled Waiter Robot

One of the most pressing challenges facing restaurants since the COVID-19 outbreak began is personnel. A staffing scarcity across the business has resulted in a slew of issues, including significantly longer wait times and irritated clients. A robot waiter may make a huge impact in a restaurant in this situation. This research led to the formation of a low-cost Arduino-based Android application control Robot that can work as a restaurant waiter. The proposed model can follow a path, avoid obstacles, serve meals to a specific consumer, and return to the kitchen on its own. To precisely follow the line, the PID algorithm is utilized. To detect potential obstructions, a sonar sensor is used. On an LCD, messages and warnings are displayed. An Android app that allows the chief to select a particular table for serving meals. For convenience, the robot's current state is displayed in the application. Our testing results show that the robot performs satisfactorily over 90% of the time. It should be emphasized that the offered model is adaptable to any restaurant. © 2022 IEEE.

Integration of Content-Based Recommendation System with 360° video player for Virtual Tourism

Nations that rely on tourists visiting their countries as a key source of income have suffered significantly because of the Covid-19 outbreak. As a result, we've chosen to develop a 360° Video Tourism mobile application that will allow users to view the sights of the destination they desire to visit and feel as if they've been transported there. This Android application makes use of 360° video playback technology, which allows users to watch videos in all directions. When the user starts the 360° video, he or she can swipe and move their finger around the screen of their Android device, and the video will appear to shift its orientation and show scenes accordingly. The application uses Firebase as its database to store data, right from the user's personal information to the videos that can be viewed. This application was written in the JAVA programming language and connected with a content-based recommendation system. This algorithm, which is based on Cosine Similarity, suggests similar areas to the user's selected location. If a user chooses 'Taj Mahal,' for example, the application will suggest monuments that are similar to the Taj Mahal. This application serves as a solution, not only for users for exploring unexplored areas from the comfort of their homes but also a chance for the tourism industry to advertise and promote new tourism destinations, leading to increased visitor numbers and higher revenue. © 2022 IEEE.

Design of a Pulse Oximeter with Altitude Measurement Bluetooth Communication and Android Application

Implementation of a pulse oximeter with measurement of altitude, heart rate (HR) and oxygen saturation (SpO2) with bluetooth communication, in the need of real-time as well as remote monitoring by the therapist with the purpose of avoiding the spread of the SARS-CoV-2 virus. With the use of bluetooth technology, the data is transmitted in real-time to a mobile phone through an application in the Android operating system, a medical history record is generated using the MIT App Inventor platform, likewise an audible alarm is activated in case the saturation level is out of range, taking into consideration the variation in oxygen saturation depending on the altitude where measurement is taken. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

The Implementation of Android Application for Online Learning Using Blended Learning System at Sharia and Law Faculty UIN Sunan Gunung Djati Bandung

The online learning system during the Covid-19 pandemic is the best choice in the learning process, however, the quality of learning and knowledge transfer remains the top priority. An android-based blended learning system is used at the Faculty of Sharia and Law which presents the features needed in the online teaching and learning process by combining face-to-face learning using an e-learning system and a two-way communication system, so that maximum quality of learning can be achieved. © 2022 IEEE.

RemCheck: A Novel Drug Validator Application to detect fake Remdesivir, an Anti-Viral Drug for COVID-19

The COVID-19 pandemic has turned out to be one of the dreadful disaster mankind has ever faced. With the subsequent waves of the pandemic setting in several countries, the number of cases being reported is quite alarming. People need to stay extremely vigilant and ensure strict adherence to social distancing, hand hygiene, and usage of personal protectives like masks, hand gloves and face shields. Remdesivir, an anti-viral drug used against the COVID-19, believed to have some therapeutic effects is on a surplus demand. There have been reports of illegal hoarding of these drugs. We need to be vigilant and keep a check on the circulation of fake Remdesivir drugs in the market amidst the pandemic. The study proposed development of a novel Drug Validator Application to detect fake Remdesivir drugs. This is done by scanning the carton or the vial of the Remdesivir drug through the dedicated Android application. This is further sent to the cloud server for processing. The AI model which runs in the cloud server evaluates the genuineness of the drug image. The report comprising the recommendation as Genuine or Fake is sent to the user through his/her registered mobile number and e-mail address. This application could curb the circulation of fake drugs in the market amidst the pandemic and could help in undertaking a real-time surveillance. © 2022 IEEE.

Mini Medical Assistant: A Handheld Emergency Medical Support Program During COVID19 Pandemic

Android phones are one of the most common accessories used all over the world. Although once a luxury, it has now become a basic need for all generations. It is a multipurpose tool that can be used for all sorts of necessities and entertainment. Through our android app corona care, a mobile phone can be a helping hand for health care. This app can help prevent the deadly virus known as COVID-19 through plasma donation, consultation with doctors, setting up appointments, predicting corona risk assessment from symptoms using the Gaussian Naive Bayes method of predicting the risk percentage, providing emergency health services and updating users about the safety instructions about Covid-19. Our application consists of most features needed in a mHealth application that can provide necessary medical assistance to each and every household. © 2021 IEEE.

Covid-19 Android chatbot using RASA

The COVID-19 pandemic, a flood of information and news from various sources has raised numerous questions in people's thoughts concerning the disease. COVID-19 is a coronavirus, which encompasses the Severe Acute Respiratory Syndrome (SARS) virus and Middle East Respiratory Symptoms (MERS) virus. Coronavirus is a virus family that comprises virus types that cause the flu and the common cold.Chatbots and voice assistants are becoming increasingly popular ways for people to connect with systems. The days of interacting with services simply through a keyboard are long gone. Artificial Intelligence and Machine Learning developments have contributed to the development of these new types of user interaction. We'll focus on the development of chatbots as a channel for information distribution via an Android application in particular. With over 2.5 billion active users globally and over 3 million devices utilizing this Android application, it is certain to reach a large number of people.A chatbot is proposed in this study to eliminate information pollution, including false information regarding COVID19, and to provide the right responses to people's concerns. In the realm of natural language processing, a chatbot is a popular discussion system (Natural Language Processing). Chatbots are software that allows computers and people to converse. The chatbot is created on the Android platform and uses the RASA [13] open-source framework to answer inquiries regarding COVID-19. It also offers a Rapid API [14] that keeps information on COVID-19 up to date. It delivers correct information by updating the material on a regular basis. © 2022 IEEE.