This research paper presents the use of Playwright, JavaScript & Cucumber to perform scalable and efficient functional automation, comparing to traditional tools. The paper shows that Playwright reduces test execution time, improves cross browser support, and gets the testing process more efficient, applying quantitative analysis, geographical distribution, and case studies. It finds Playwright to transform how software quality is built, loading faster releases, robust security validations, and pleasurable user experiences in a variety of environments.

This paper presents an overview of Carnap, a free and open framework for the development of formal reasoning applications. Carnap’s design emphasizes flexibility, extensibility, and rapid prototyping. Carnap-based applications are written in Haskell, but can be compiled to JavaScript to run in standard web browsers. This combination of features makes Carnap ideally suited for educational applications, where ease-of-use is crucial for students and adaptability to different teaching strategies and classroom needs is crucial for instructors. The paper describes Carnap’s implementation, (...) along with its current and projected pedagogical applications. (shrink)

In 2013, I've transformed the each_co_uk server side system (aspx / c#) to the client system of a few javascript files ≈400KB potentially webassembly, without plugins / 3rd party / css.. The system maximally reuses functions & data to apply: 1) Linguistic principle of arbitrariness of the sign maximizing repetitions, 2) Multi layer logic of the chess composition, 3) Information Theory minimizing entropy. Some of these ideas were presented at conferences in Santorini, Adelaide, Geneva, Daejon and virtually. Philosophically, any (...) system only organizes the existing reality (information), but can't create it. Its fragmentation easily leads to illusions (entropy): e.g. Zeno's Achilles can't overtake the slower tortoise because as he gets closer, the tortoise gets a bit further, so he gets closer and closer but never reaches her. So the more are logic and data fragmented in various layers (server, javascript, css, sql, frameworks..), the less capable system is. (shrink)

This paper proposes a novel model for understanding consciousness by envisioning Brahman—the ultimate, universal consciousness in Vedanta—as an infinitely layered JSON (JavaScript Object Notation) structure. In this model, each aspect of reality, from individual thoughts to timelines and entire universes, is represented as a property within this universal JSON object. By integrating the Vedantic concepts of Atman (individual self) and Brahman (universal consciousness) with ideas from quantum mechanics and information theory, this model suggests that all possible experiences, thoughts, and (...) realities exist within Brahman, ready to be accessed by individual consciousness. This framework offers a fresh way to think about reality, creativity, and free will, proposing that every possible thought or action already exists as a “node” within Brahman’s JSON, and that we simply “select” which part to experience. (shrink)

This paper proposes a novel model for understanding consciousness by envisioning Brahman—the ultimate, universal consciousness in Vedanta—as an infinitely layered JSON (JavaScript Object Notation) structure. In this model, each aspect of reality, from individual thoughts to timelines and entire universes, is represented as a property within this universal JSON object. By integrating the Vedantic concepts of Atman (individual self) and Brahman (universal consciousness) with ideas from quantum mechanics and information theory, this model suggests that all possible experiences, thoughts, and (...) realities exist within Brahman, ready to be accessed by individual consciousness. This framework offers a fresh way to think about reality, creativity, and free will, proposing that every possible thought or action already exists as a “node” within Brahman’s JSON, and that we simply “select” which part to experience. (shrink)

This project is a robust online education platform designed to streamline learning and teaching experiences. It integrates features for course management, user authentication, and interactive learning. Core functionalities include user registration, tutor and student profile management, course search and enrollment, video content streaming, and interactive elements like bookmarks, comments, and likes to enhance user engagement. The backend, powered by PHP, ensures dynamic content delivery, while the frontend employs CSS and JavaScript for a user-friendly interface. The database, structured using SQL, (...) efficiently handles data related to courses, users, and interactions. This platform is scalable and adaptable, making it ideal for educational institutions or independent tutors aiming to offer seamless virtual learning experiences. (shrink)

Drought is a critical environmental issue that affects agriculture, water resources, and ecosystems. Traditional drought monitoring methods rely on ground-based meteorological observations, which have limited spatial coverage and do not provide real-time assessments. This project aims to develop a Vegetative Drought Prediction System by integrating Vegetation Condition Index (VCI) data from the ISRO VEDAS VCI Dashboard, remote sensing indices (NDVI), meteorological drought indicators (SPI, PDSI), and machine learning algorithms (Random Forest, SVM, LSTM) to accurately detect and predict drought conditions. The (...) system utilizes VCI data from the ISRO VEDAS portal, which provides high-resolution drought monitoring for India. Additionally, satellite imagery from MODIS, Sentinel-2, and Landsat-8 is used to compute NDVI (Normalized Difference Vegetation Index) to assess vegetation health. Meteorological indices, such as the Standardized Precipitation Index (SPI) and Palmer Drought Severity Index (PDSI), are used to evaluate precipitation deficits and long-term drought trends. Machine learning models further enhance drought prediction. Random Forest (RF) and Support Vector Machine (SVM) classify drought severity based on VCI, NDVI, temperature, and rainfall data. Long Short-Term Memory (LSTM) networks analyze time-series data to forecast future drought conditions. These models are trained on historical drought records and meteorological data to improve accuracy. A web-based application is developed to visualize drought conditions, enabling users to select a region, analyze VCIbased drought indices, and receive real-time predictions. The frontend is built using HTML, CSS, and JavaScript (React.js), while the backend is implemented using Flask/Django, with PostgreSQL/MongoDB for data storage. This project provides an efficient, scalable, and cost-effective solution for drought monitoring using ISRO VEDAS VCI data, benefiting farmers, policymakers, and researchers in making informed decisions and enhancing drought preparedness. (shrink)

This paper presents the design and development of a dynamic and user-friendly web page for Sanjeevani Vidya Samstha, an educational institution dedicated to providing quality learning and holistic development. The objective of the web page is to enhance digital presence, streamline information dissemination, and facilitate communication between the institution, students, parents, and faculty. The platform integrates essential modules such as About Us, Courses Offered, Admissions, Faculty Profiles, Events, News & Announcements, and Contact Information. Built using modern web technologies such as (...) HTML5, CSS3, JavaScript, and responsive frameworks, the web page ensures accessibility across various devices and platforms. The paper also discusses the implementation of user-centered design principles and highlights the importance of digital transformation in educational institutions. This initiative aims to strengthen institutional branding, improve transparency, and create a bridge between traditional education systems and emerging digital trends. (shrink)

Real Estate Management System – is an Estate Agent and Property Management System is a user friendly contact and property manager for real estate professionals. Save time and sell more by empowering to easily keep track of leads, manage listings, and market to new prospects. Real Estate Management System is complete end to end solution to cover all aspects of Estate Agent day to day activity and Property buying selling procedure for small and large organization. The basic objective of developing (...) this project is Maintain client details line contact details, required property details, client type like residential and commercial client. Price limit. Preference. Maintain property details, registration of property for sale includes property address, property description, price, facilities available. Store property floor plan, property documents. Creation of thumbnail of property images for brochure System has powerful logical access management in place, each user must be identified by login id and strict password policy is applied to secure the system. The platform allows sellers to register properties with detailed descriptions and multimedia, while buyers can search, filter, and inquire about available listings based on preferences such as location, price, and type. Administrators manage users, property approvals, feedback, and overall platform integrity. Built using PHP for backend logic and MySQL for database storage, the system features a secure, user-friendly interface developed with HTML, CSS, JavaScript, and Bootstrap. (shrink)

The development of a Virtual Sign Language Translator represents a significant advancement in facilitating communication between hearing and non-hearing individuals, particularly in educational and business settings. This initiative aims to bridge the communication gap by providing real-time translation of sign language into text or speech, enhancing accessibility and inclusivity. The system utilizes advanced technologies such as computer vision, machine learning, and natural language processing to accurately interpret sign language gestures. Users can interact through intuitive interfaces, enabling seamless conversion of sign (...) language into readable or audible formats. By integrating this translator into classrooms, universities, institutions, and business environments, we can promote equal participation and understanding, ensuring that information is accessible to all, regardless of hearing ability. (shrink)