PikFresh - Fruit Quality Detection using ResNet50 Doshi, Ananya; Khatri, Preksha; Dodiya, Vansh ...
2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT),
2023-July-6
Conference Proceeding
Fruit quality detection has started becoming an increasing concern for inexperienced individuals. Upcoming generations struggle the most when it comes to buying fruit in the market of idle quality, ...as they lack the experience required to purchase something that is fresh. This novel system aims to ease the process of analysing the quality of fruit. This paper focuses on the transfer learning algorithm ResNet50, integrated with the React Native framework, to build a complete end-to-end solution. A customised dataset was created for certain fruits. The user will be given the option to scan a fruit, taking a live video capture from all directions, on the basis of which a report will be generated. During the process, the user is directed towards a questionnaire pertaining to a specific fruit, which helps in assessing the quality on the basis of sensory perception. The report obtained consists of various details, such as recommendations to buy, the shelf life of the fruit, whether it is adulterated, and whether it should be refrigerated.
Experience the next frontier in weather forecasting through our revolutionary mobile application. We seamlessly integrate state-of-the-art technology to deliver an immersive and highly accurate ...weather experience. Departing from traditional methods reliant on historical data, our app pioneers precision by incorporating advanced technologies. Initiating with real-time weather data, our app ensures up-to-the-minute accuracy for users' specific locations. A data-driven foundation underlies our commitment to providing the most precise weather predictions. To bring weather to life in a visually engaging way, we utilize Unreal Engine for 3D modeling, creating an augmented reality (AR) experience. This innovative approach allows users to step into an AR world, interacting with and understanding weather conditions like never before. Our app is designed for wide accessibility, developed using React Native for seamless use across iOS and Android devices.
This abstract explores the transformative impact of React native within the gaming enterprise, highlighting its versatility, performance, and efficiency in mobile app improvement. Using permitting ...builders to create immersive gaming studies across iOS and Android structures using a single codebase, react native streamlines the development procedure and hastens time-to-market for gaming programs. Through a complete assessment, this abstract delves into React native's capacity to supply local-like overall performance simplified pass-platform development, and optimized picture rendering. It discusses the emergence of destiny traits and challenges, together with augmented reality integration and greater overall performance requirements, shaping the landscape of React native-based totally gaming applications. Commonly, these abstracts underscore React native pivotal role in driving innovation and shaping the destiny of mobile gaming studies.
React: A detailed survey Komperla, Varun; Pratiba, Deenadhayalan; Ghuli, Poonam ...
Indonesian Journal of Electrical Engineering and Computer Science,
06/2022, Letnik:
26, Številka:
3
Journal Article
Odprti dostop
developments in technology and the ever-growing number of web applications, it has become a necessity to create fast and scalable applications to cater to the current market. There are a plethora of ...frameworks available for web development, and a developer must choose the most appropriate framework for their use. In this paper, a detailed analysis of the history, prominent features and advantages of React, an open-source JavaScript library is presented. A discussion on React Native, a framework for building native applications is also given. This paper has provided an insight into the reason React is the leading web development framework in the world.
Establishing new mobile applications that are adaptable across multiple cross platforms is a strenuous task. There are several frameworks for mobile application development existing in the market ...which has got its own tremendous features and benefits, but choosing the right framework for app development is very crucial for any developer. This study compares the benefits and efficiency of the three most popular and preferred frameworks by the end-users; React-Native, Flutter, and Ionic Frameworks and choose the most optimized and suitable framework for mobile app development. These designed frameworks are platform independent, and the yield was evaluated and appeared to be satisfactory by the users in the respective platform. These methodologies have been implemented using Javascript, Dart, HTML and CSS.
In recent years, mobile applications have attempted to significantly improve our lives. Android and iOS are the two most popular mobile platforms, yet they have varied settings (OS versions, screens, ...manufacturers, etc.) as a result creating a mobile application might be difficult. In recent years, several cross-platform frameworks, such as Flutter and React Native, have shown to be pioneers in this field. For developers, however, choosing cross-platform can be an intimidating task. In this research, we examine the automated testing capabilities of the Flutter and React Native frameworks in terms of automation testing. We concentrate on automation testing reusability, integration, and compatibility. We created a To-Do List mobile app in Flutter and React-Native by using Testproject.io as an automation testing platform. As a result of this research, the experiment demonstrates that React Native outperforms Flutter in terms of reusability and compatibility, with no significant difference in terms of integration,
Using AI for Healthcare Management - Vinci Medicine solution Kashpruk, Nataliia; Baranowski, Jerzy; Bachta, Wojciech
2023 27th International Conference on Methods and Models in Automation and Robotics (MMAR),
2023-Aug.-22
Conference Proceeding
This paper describes the development of Vinci Medicine, a comprehensive healthcare system that utilizes machine learning and mobile technology. The system comprises a mobile application, an ...administrative panel, a machine learning module, and a database. The mobile application allows users to input their symptoms and receive appropriate medical advice based on the analysis provided by the machine learning module. The administrative panel provides staff members access to the system's backend, allowing them to manage appointments and doctor schedules. The machine learning module provides preliminary diagnoses and suggests tests and examinations. The database stores user data and medical information. The system was designed with user experience in mind, providing an easy-to-use interface and intuitive navigation. The machine learning module was developed using Python 3.10 and FastAPI, and the database was implemented using MariaDB. The system has been shown to provide accurate diagnoses and suggestions for medical examinations. Vinci Medicine offers a reliable and efficient healthcare solution for users, providing access to medical advice and services from the convenience of their mobile devices.
Android Application for Tourism Planning in Bangladesh Pavel, Mahabubul Alam; Rana, Masud; Roman, Abdullah Al ...
2021 IEEE 19th Student Conference on Research and Development (SCOReD),
2021-Nov.-23
Conference Proceeding
Tourism is currently considered one of the fastest-growing socio-economic phenomenon of the world. Like all the other countries, Bangladesh is experiencing a steady growth in the tourism sector, ...producing economic benefits as well as employment opportunities. This paper describes the entire process comprising the theory and software implementation of a tour planner Android application. Our proposed tour planner application has been designed to overcome the primary challenges of travel and tourism by reducing the stress of the traveler and making a simple tour planning concerning individual user demand. This Android application is basically a personalized travel guide, where users can arrange a tour based on their budget and duration of the estimated travel. In this work, the front-end part of the application has been designed by the React Native framework. Apollo Client library has been used to connect the front-end app with the back-end express server. Several functions, e.g., Bcrypt, JSON Web Token, and cookie-parser have been utilized to provide security of the application. Users will get detailed information about a tourist spot with a simple tap or swipe, including the weather, transport, hotels, local guides, etc. There is a review option in the application that will help people to find and choose the best destination according to a few criteria like safety, service, cleanness, connectivity, transportation, and other available facilities.
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