Google Firebase Research Articles

Real-time Vehicle Monitoring and Route Prediction using Geolocation through LSTM

Vehicle travel, such as by bus, automobile, etc., is a common way to use public transportation since it is convenient, economical, easily accessible, and eco-friendly. However, there are moments when its challenging to keep an eye on everyone while traveling, avoid traffic bottlenecks, and provide enough service, which makes the passengers bored. In this paper, we offer a real-time geolocation Android application that gathers real-time geolocation data (longitude and latitude), date, time, and speed, and integrates it with Google Firebase to assist predictive analytics for the operational efficiency of a vehicle firm. After being exported from the database as a JSON file, the data must be transformed into a CSV file. The company will be able to anticipate a vehicles future location on a predetermined route based on date, time, and speed by using this database to train an LSTM (Long short-term memory) model, a sort of sequential neural network. Determining the vehicles expected arrival time, allocating passengers, and predicting traffic conditions will therefore be useful in preventing congestion. Utilizing this technology allows a car company to improve scheduling, boost monitoring, and provide better overall service.

Automated Test Creation Using Large Language Models: A Practical Application

The article presents work on developing a software application for test creation using artificial intelligence and large language models. Its main goal is to optimize the educators’ work by automating the process of test generation and evaluation, with the tests being stored for subsequent analysis and use. The application can generate test questions based on specified criteria such as difficulty level, Bloom’s taxonomy level, question type, style and format, feedback inclusion, and more, thereby providing opportunities to enhance the adaptability and efficiency of the learning process. It is developed on the Google Firebase platform, utilizing the ChatGPT API, and also incorporates cloud computing to ensure scalability and data reliability.

The Medium is the Message: How Secure Messaging Apps Leak Sensitive Data to Push Notification Services

Like most modern software, secure messaging apps rely on thirdparty components to implement important app functionality. Although this practice reduces engineering costs, it also introduces the risk of inadvertent privacy breaches due to misconfiguration errors or incomplete documentation. Our research investigated secure messaging apps' usage of Google's Firebase Cloud Messaging (FCM) service to send push notifications to Android devices. We analyzed 21 popular secure messaging apps from the Google Play Store to determine what personal information these apps leak in the payload of push notifications sent via FCM. Of these apps, 11 leaked metadata, including user identifiers (10 apps), sender or recipient names (7 apps), and phone numbers (2 apps), while 4 apps leaked the actual message content. Furthermore, none of the data we observed being leaked to FCM was specifically disclosed in those apps' privacy disclosures. We also found several apps employing strategies to mitigate this privacy leakage to FCM, with varying levels of success. Of the strategies we identified, none appeared to be common, shared, or well-supported. We argue that this is fundamentally an economics problem: incentives need to be correctly aligned to motivate platforms and SDK providers to make their systems secure and private by default.

Tool Management System

Abstract: Efficient tool management is essential for organizations to optimize tool availability, minimize losses, and save time and resources. This paper examines the significance of managing both physical and software tools effectively within various organizational contexts. By analyzing the underlying problems, requirements, and feasibility, we provide a comprehensive overview of the best practices in tool management, aimed at enhancing organizational efficiency and productivity. Additionally, we present a case study on the development and implementation of a Kotlin-based Android application integrated with Google Firebase to streamline tool management processes

GPS Based Technology for Women Safety During Panic and Insecurity

In our Country, even though it has super power and an economic development, but still there are many crimes against women. The atrocities against the women can be brought to an end with the help of device, specially designed for women in distress. women are facing problems like harassment. We propose to have a device which is the integration of multiple devices, hardware comprises of a wearable device that endlessly communicates with sensible phone that has access to the web. The device consists of trigger button, GPS module(Neo-6M), Switch, soil moisture sensor(continuity purpose), Buzzer, esp32 microcontroller, LCD display. In this project, when a woman senses danger she has to press the button of the device. Once the device is activated, it tracks the current location using GPS (Global Positioning System)and wifi is connected then it stors data in the google fire base from that it send stored data to the mobile App. From the app the user get notification and he/she can use that devise by pressing the switch. buzzer is used as an alarm to alert the nearby people so that they may understand that someone is in need.

Wind Chat: Robust & Dynamic Flutter Messaging Application

"Wind Chat" is an Android messaging application developed using Flutter and Google Firebase. It enables users to sign in with their Gmail accounts, send friend requests, and engage in real-time messaging. It is a robust messaging application developed using cutting-edge technologies - Flutter and Google Firebase. Flutter, an open-source UI software development toolkit, allows for the creation of natively compiled applications for mobile, web, and desktop from a single codebase. Its expressive and flexible framework ensures a seamless user experience across various platforms. Complementing Flutter, Google Firebase serves as the backend infrastructure, providing a suite of powerful tools for authentication, real-time database management, and cloud storage. Firebase Authentication ensures secure user sign-ins through various methods, while Firebase Real time Database facilitates dynamic and synchronized data updates in real-time. Additionally, Firebase Cloud Storage caters to the reliable storage of multimedia content, a pivotal aspect of Wind Chat's functionality. This integration ensures secure and efficient user authentication and authorization, while also enabling dynamic and responsive data handling, critical for a real-time messaging application like Wind Chat. The combination of Flutter and Firebase empowers "Wind Chat" with a compelling and dynamic user interface, ensuring fluid navigation and an intuitive messaging experience. This fusion of innovative technologies underpins Wind Chat's ability to deliver a feature-rich and user-centric platform for seamless communication.

Remote practical instruction using web browsers

<p>This paper introduces a novel approach to remote coaching, specifically targeting the body movements of learners participating remotely. The proposed system employs a smartphone camera to capture the learner’s body and represent it as a 3D avatar. The instructor can then offer guidance and instruction by manipulating the 3D avatar’s shape, which is displayed on a web browser. The main challenge faced by the system is to enable the sharing and editing of 3D objects among users. Since the HTML5 drag-and-drop feature is inadequate for transforming virtual objects consisting of multiple interconnected rigid bodies, the system tracks the pivot point of the manipulated rigid body. It assigns attributes such as pivot points and action points to each object, extending beyond their 2D screen coordinates. To implement the system, an interactive web application framework following the model-view-view-model (MVVM) architecture is utilized, incorporating Vue.js, Three.js, and Google Firebase. The prototype system takes advantage of the data binding capability of the framework and successfully operates within the 3D space of a web browser. Experimental results demonstrate that it can effectively share transformation information with an average delay of 300 ms.</p>

Design of an IOT-based saffron crop irrigation system

Saffron is a highly prized and globally demanded spice.Still, the rate of production is unable to keep up with the exponentially rising demand due to a variety of reasons. One of the major problems faced in increasing saffron growth is the lack of understanding of the best circumstances. Factors like Temperature, humidity, and light intensity play a vital role in the growth and development of plants, and continuous monitoring and control of these factors are necessary to ensure optimal growth. To address this issue this paper introduces an integrated automated system designed to empower farmers in optimizing production while simultaneously facilitating data collection for research purposes, aimed at enhancing both the quantity and quality of agricultural yields using the utilization of sensors and a live data streaming application. It allows for efficient management of saffron's growing operations and enables more accurate adjustments. The sensors can be remotely located in the saffron growing areas and connected to the app via wireless connections, allowing farmers to monitor these factors and suggest changes continuously. Using this system, farmers can ensure that the conditions for saffron plant growth are optimal at all times, leading to increased production. The developed app utilizes technologies such as ReactJS and Google Firebase, and also allows for real-time data streaming, enabling farmers to view the current conditions at any time and make adjustments accordingly. Additionally, a user-friendly mobile application is developed to enable farmers to easily oversee their cultivation conditions. This paper bridges the gap between existing research by integrating the factor of luminous intensity and its effect on Saffron during it’s budding and growth stage, an area which is severely under researched and finds almost negligible mainstream integration in similar prototype models. Furthermore, the paper underscores the potential for future machine learning models by highlighting the provision for follow-up studies using the data collected through the prototype, thus fostering ongoing advancements in agricultural research and technology.

Revolutionizing Education with Geekbits: A Comprehensive Study

In an era where digital technology pervades every aspect of our lives, education too has undergone a profound transformation. Geekbits emerges as a pioneering solution, aiming to revolutionize the learning experience for students worldwide. By amalgamating sophisticated technologies such as Flutter and Google Firebase, Geekbits offers a comprehensive platform that caters to the diverse needs and preferences of modern learners.This paper presents an in-depth exploration of Geekbits, analyzing its features, functionalities, and potential impact on student learning outcomes. Through meticulous examination, we uncover how Geekbits empowers students to excel academically and professionally, providing access to curated educational content, personalized learning paths, and career guidance resources. By fostering a collaborative and inclusive learning environment, Geekbits seeks to redefine the boundaries of traditional education and prepare students for success in an increasingly digital world.

LEVERAGING CLOUD TECHNOLOGIES AND SERVERLESS ARCHITECTURE FOR EFFICIENT WEB DEVELOPMENT: A CASE STUDY FROM REAL-WORLD APPLICATION

This article provides a review of modern cloud solutions and serverless architecture using Backend as a Service (BaaS) and Function as a Service (FaaS) architecture as an example. In the scope of the article, a parallel is drawn between the consistently growing computing power and cloud technologies' growing popularity and availability for business. The results of an analytical review include a list of the most popular cloud providers from leading corporations and a comparison of low-level and high-level cloud technologies. The advantages and disadvantages of Google Cloud Platform (GCP) and Google Firebase are presented, where GCP is a low-level cloud provider and Firebase is a high-level cloud provider. The importance of understanding the context and specifics of the project when choosing cloud project solutions is emphasized which helps to maintain a balance between flexibility and development efficiency. The study introduces the practical utilization of the Supabase cloud platform for the development of a modern web application. The article convincingly proves the actuality of using Supabase for the development of an information system to optimize the modern personnel recruitment process, indicating specific advantages. An example of Supabase Edge Functions usage to generate feedback using the OpenAI Completions API and the Deno software platform is presented. The article convincingly proves that the use of cloud technologies is a modern strategy for building flexible, efficient, and scalable information systems. The advantages of the usage of the provision of infrastructure provided by world industry leaders are summarized.

Enhancing Microbial Fuel Cell Performance Prediction and IoT Integration Using Machine Learning and Renewable Energy

This study aims to enhance Microbial Fuel Cells (MFCs) reliability for remote environmental monitoring, emphasizing unexplored facets of accurate energy prediction and the integration of renewable energy-powered Internet of Things (IoT) devices. Following comprehensive research, design, and component procurement, an innovative and cost-effective IoT system was developed, leveraging renewable energy from MFCs. Using an Arduino UNO-WiFi, data was collected and showcased on a web page while logged in a Google Firebase database, with an Android app created for intuitive smartphone visualization. Over four months, sensor data was accumulated. An Artificial Intelligence (AI) model, employing Autoregressive Integrated Moving Average (ARIMA), precisely forecasted MFC energy production (RMSE: 0.0119 and 0.0113 for trials 1 and 2). Despite the initial energy production surge, a subsequent decline occurred due to organic matter depletion. This prototype represents an affordable and sustainable solution for cloud-based IoT environmental monitoring with AI-driven energy forecasts, embodying innovation in renewable energy applications and sustainable practices.

Sustainable practices for semi-paralysed people using gesture-link paralysis glove

The work addresses the communication barriers experienced by semiparalyzed individuals through the introduction of the “paraglove,” a cuttingedge wearable device leveraging Internet of Things (IoT) technology. The paraglove is equipped with flex sensors, seamlessly integrated into the glove, and connected to an ESP32 microcontroller board. The flex sensors detect minimal hand gestures, allowing users to signal for crucial activities such as eating, restrooms, and signalling for emergencies. Through IoT, these gestures are translated into text messages, a process facilitated by the ESP32 microcontroller. The resulting text data is then stored and continuously updated within Google Firebase. To ensure seamless communication, the paraglove utilises the Kodular Companion application. The sustainable information is transmitted to family members or guardians through the application, enhancing the connectivity and support system for individuals with paralysis. The integration of an OLED display sensor directly on the glove provides users with real-time feedback by presenting the interpreted output. The combination of flex sensors, ESP32 microcontroller, IoT technology, Google Firebase, and Kodular Companion application simplifies communication for those facing paralysis and empowers them to engage with the world more effectively. This technological solution addresses the immediate communication needs and contributes to the overall well-being of individuals with paralysis.

Sustainable practices for plant nutrient control using IoT

Fertilizers play a key role in promoting healthy plant growth and increasing crop yields. However, excessive use of fertilizers often leads to several negative environmental impacts, including soil pollution, nutrient runoff into water bodies and reduction of long-term soil fertility. An abrupt ban on the use of fertilizers would be infeasible hence, sustainable practices play a huge role towards the management of crop health and productivity. To address the challenge, the mentioned proposal introduces an IoT-based Plant Nutrient Control System designed to work towards soil conservation. The proposal revolves around the usage of NPK (Nitrogen (N), Phosphorus (P), and Potassium (K)) sensors for providing real-time data on soil nutrient concentrations. The data collected from the NPK sensors is transmitted to a cloud service (Google Firebase) for storage purposes. The system analyzes the data based on which it checks off the necessity of the required minerals for healthy plant growth. It then provides recommendations to the farmers regarding the minimal amount of fertilizer content that will be necessary for the same. Also, the system continuously monitors the moisture and temperature of the soil. In case of a need for watering, the system sends an alert to the farmer. Therefore it has a userfriendly interface, which is developed using Kodular API, ensuring that data is accessible to farmers through minimal complexity.

Emergency SOS-A Novel Tool

Abstract: Online communication has become very popular through Android and the World Wide Web. Our project aims to develop websites and Android applications that will revolutionize the field of Mobile Health Technology (MHT). Our main app will bridge the gap in the market and technology of MHT. The project will allow users to communicate with each other in realtime through an Android and Web-based system with backend support provided by Google Firebase for Authentication, Realtime Databases and Firebase Storage. The main objective of this application is to build a system where users can assist each other and quickly locate hospitals or help centers nearby so they can move immediately from their location to the destination location for helping. This system will provide much more efficient, cost-effective and life-saving ways for common users as well as hospitals.

Nurturing Agribusiness: A Sustainable Farming System for Tomato Crop Management Leveraging Machine Learning

The agriculture industry is undergoing a transformative shift with the introduction of IoT technology, enabling global connectivity for farmers. This technology offers a plethora of advantages, ranging from precise seed selection based on soil analysis to efficient crop maintenance, water management, and enhanced marketing support for improved profitability. To further enhance tomato farming practices, we propose the implementation of a smart farmer marketing assistant that streamlines the process of segregating yield based on its growth stage, reducing labor and time requirements.Further, the frame work is capable of early-disease management system that can detect diseases like early blight,light blight, buck eye rot and anthranose and suggest remedy. By adopting this innovative approach, financial losses associated with traditional methods are minimized.The traditional practice of combining all categories of vegetables (ripened, unripened, and partially rotten) in a single container often results in reduced shelf life for the produce. In our framework, we employ color sorting to categorize the vegetables, ensuring proper packing into their respective bins. This valuable data is made accessible through a cloud environment, providing potential buyers with comprehensive information about the yield, its category, and pricing. This increased visibility empowers farmers to reach a global market and sell their produce at competitive prices.
 In this context, we present a case study focused on the tomato crop, where we have successfully developed a prototype utilizing ESP32, a color sensor, and Google Firebase. This comprehensive framework effectively harnesses the power of IoT, Machine Learning, and potential marketing strategies, transforming the way farmers manage their crops and connect with buyers on a global scale with highly accurate 87.9% experimental results.

LookUpTrials: Assessment of an artificial intelligence-powered mobile application to engage oncology providers in clinical trials.

111 Background: Clinical trials are integral to cancer care but face frequent accrual challenges as they grow numerous and complex. Artificial intelligence (AI) technologies can cognitively aid oncology providers, but few have rigorously been evaluated or optimally integrated into clinical workflow. We developed an AI-powered mobile application, LookUpTrials, to support oncology providers in facilitating point-of-care access to relevant information on cancer clinical trials. This study examines user engagement of LookUpTrials among oncology providers. Methods: LookUpTrials functions as a search engine for clinical trials. Unlike traditional trial registries, LookUpTrials provides an open forum, similar to a social media platform, to allow users to update information (i.e., trial availability) and share knowledge (i.e., clinical experience) about clinical trials. Additionally, LookUpTrials leverage Al technologies supported by Apple Inc. and ChatGPT to assist with summary and search queries. Similar applications exist, but few support real-time update, editable by clinical trial teams. On Feb 27th, 2022, we piloted LookUpTrials in the Head and Neck and Breast medical oncology services at the Memorial Sloan Kettering Cancer Center (MSK). Leveraging Google Firebase and Apple Analytics, LookUpTrials prospectively auto-captured user engagement measures. Measurement included: 1) sessions: instances when users opened app or viewed an app screen; 2) engaged sessions: sessions that lasted longer than 10 seconds or had 2 or more screen views; and 3) engagement time: time that app ran in the foreground. We applied market segmentation and descriptive statistics to analyze the measures. Results: In 2022, LookUpTrials received 166 downloads, the majority within the United States (73%), a few unknown (7%), and others across 8 countries, including China (9%), Ukraine (5%), Egypt (1%), France (1%), Morocco (1%), Switzerland (1%), Turkey (1%), and the United Kingdom (1%). Within the MSK pilot, LookUpTrials provided information on over 80 trials, including trials on breast cancer, head and neck cancers, thyroid cancers, salivary gland cancers, and non-melanoma skin cancers. Among 115 active users (72% of downloads), the application recorded 1,115 engaged sessions (68% of sessions), averaging 10 engaged sessions per user and an engagement time of 39 minutes and 8 seconds. Conclusions: LookUpTrials demonstrated promising user engagement among oncology providers. As the number and complexity of cancer clinical trials expand, future studies are needed to evaluate the optimal process to integrate LookUpTrials into cancer care delivery and to understand its effects in supporting providers in trial accrual.

Contact Tracing App Privacy: What Data is Shared by Non-GAEN Contact Tracing Apps

We describe the data transmitted to backend servers by the contact tracing apps now deployed in France (TousAntiCovid), Australia (CovidSafe), Singapore (TraceTogether), US/Florida (CombatCovid), Israel (HaMagen), India (Aarogya Setu) with the aim of evaluating the privacy of these contact tracing apps as actually deployed. To the best of our knowledge, the measurements we present are the first public data of this sort for the French, Australian, Israeli, Indian and Florida apps. We find that TousAntiCovid and CovidSafe are generally well-behaved with regard to privacy. TraceTogether and CombatCovid make extensive use of Google Firebase services which means that that there are two main parties involved in handling data transmitted from these apsp, namely Google and the health authority operating the app itself. HaMagen is well-behaved for uninfected users of the app but GPS location data associated with infected is publicly published on the HaMagen server. Aarogya Setu, with >160M users, is found to have a number of serious privacy issues, including silent upload of logged location data.

Smart Remote Controlling System of Home Appliances

The device's control features combine cloud-based and wireless home automation technologies. This prototype, which cost less than $30,000 to build, does away with the need to pay for SMS service or to manage the server and database architecture because all that is required is an internet connection and a Cloud-service. The security for granting the approved access to users looking to manage and operate their home appliances remotely is ensured. This might persuade users to install the system in their homes and places of business. The cloud service used in the develop-ment of this system is the Google Firebase, which acts as an web server for storing and processing the data sent by the user through their mobile phone. In-order to automatically obtain data from the Firebase real-time database and give the control signals required for tripping the load and the NodeMCU board connects to the wireless system and subsequently to that of the internet.

Development of Cloud-based Water Quality Monitoring System

Water quality is paramount for sustaining life and maintaining ecological balance. However, traditional monitoring methods often must improve by providing real-time and comprehensive information. The developed systems show a cloud-based water quality monitoring system that overcomes the drawbacks of conventional approaches. The system allows numerous users to collect, store, and retrieve real-time data by combining sensors, an ESP32 microcontroller, Google Firebase Cloud, and a mobile application. The prototype illustrates the viability of using cloud computing to monitor water quality accurately and thoroughly. This effort advances the field by highlighting water quality is importance to supporting ecosystems and life. It highlights the system's contribution to allowing proactive decision-making and quick solutions to water quality challenges while outlining potential directions for future advancements in sensor calibration, testing in various water bodies, and cutting-edge data analytics methods. The cloud-based system for monitoring water quality has uses in various fields, such as environmental management, public health, and water resource conservation. It makes it easier to make educated decisions and take preventative action to preserve water quality and sustainability.

Development of Cloud-based Water QualityMonitoring System

Water quality is paramount for sustaining life and maintaining ecological balance. However, traditional monitoring methods often must improve by providing real-time and comprehensive information. The developed systems show a cloud-based water quality monitoring system that overcomes the drawbacks of conventional approaches. The system allows numerous users to collect, store, and retrieve real-time data by combining sensors, an ESP32 microcontroller, Google Firebase Cloud, and a mobile application. The prototype illustrates the viability of using cloud computing to monitor water quality accurately and thoroughly. This effort advances the field by highlighting water quality is importance to supporting ecosystems and life. It highlights the system's contribution to allowing proactive decision-making and quick solutions to water quality challenges while outlining potential directions for future advancements in sensor calibration, testing in various water bodies, and cutting-edge data analytics methods. The cloud-based system for monitoring water quality has uses in various fields, such as environmental management, public health, and water resource conservation. It makes it easier to make educated decisions and take preventative action to preserve water quality and sustainability.