Journal of Research and Review: Fuzzy Logic Design and Fuzzy Systems
This is blind peer-reviewed journal that provides a platform which aspires to cover all the aspects of Fuzzy Logic Design and Fuzzy Systems. This journal provides a deep insight in advancement and research in the field of Fuzzy Logic Design and Fuzzy Systems. Focus and Scope Fuzzy Bunch Fuzzy Control Fuzzy Data Analysis Classification and Pattern Appreciation Fuzzy Database Fuzzy Decision Making Fuzzy Expert System Fuzzy Logic Systems Fuzzy Logic Methods
Online examinations and virtual interviews face major challenges in maintaining fairness, preventing cheating, and ensuring candidate attention without physical supervision. To address these issues, an AI Exam Proctoring System is developed as an intelligent monitoring solution that uses webcam and microphone inputs to observe student behavior in real time. The system applies Computer Vision and Artificial Intelligence techniques to detect face presence, eye movement, head direction, screen focus, and suspicious activities such as looking away frequently, multiple person presence, and unusual movements. It also uses audio analysis to identify background noise, talking, or external disturbances during the examination. The application continuously monitors candidate behavior, generates alerts for rule violations, and provides a final integrity report based on focus level and suspicious events. Additionally, the system helps institutions and organizations conduct secure, transparent, and automated online assessments with reduced manual invigilation effort. The results show improved monitoring accuracy, enhanced exam security, and efficient remote assessment management.
Constitutional Boundaries of Digital Expression: Free Speech, Social Media Governance, and the Indian State
The rapid proliferation of social media platforms has fundamentally reconfigured the terrain on which the fundamental right to free speech and expression, guaranteed under Article 19(1)(a) of the Constitution of India, is exercised and contested. Platforms such as WhatsApp, Instagram, YouTube, and X—formerly Twitter—now function as primary arenas for civic discourse, political participation, journalistic activity, and cultural exchange. Yet these same platforms have become vectors for the rapid dissemination of misinformation, coordinated hate speech, cyberbullying, and incitement to violence, compelling the state to invoke its regulatory authority under Article 19(2) with increasing frequency and, critics contend, with insufficient constitutional discipline. This study undertakes a comprehensive doctrinal and socio-legal analysis of the evolving relationship between constitutional free-speech guarantees and the governance of digital public discourse in India. The research examines the normative framework of 'reasonable restrictions' under Article 19(2), traces the judicial development of proportionality doctrine through landmark Supreme Court decisions, and evaluates the adequacy of current regulatory instruments—including the Information Technology Act 2000, the IT (Intermediary Guidelines and Digital Media Ethics Code) Rules 2021, and the emerging Digital Personal Data Protection Act 2023—against constitutional standards. Through critical analysis of documented incidents involving viral misinformation, mob violence, and government-ordered internet suspensions, the paper demonstrates that the present regulatory architecture inadequately protects both expressive freedom and public safety, and proposes a multi-dimensional reform agenda grounded in proportionality, transparency, and democratic accountability. The study concludes that a sustainable equilibrium between free expression and public order in digital India requires not merely legislative amendment but a fundamental reorientation of regulatory philosophy—one that treats proportionality as a binding procedural commitment rather than a post-hoc justification, and that positions digital literacy as a constitutional infrastructure investment rather than an optional educational supplement.
-ThepreparationforGATErequiresstructured planning, conceptual clarity, and awareness of shifting trends in the emphases of the syllabus and the question patterns. A sizeable proportion of the students face problems regarding dispersed study materials, lack of faculty interaction opportunities, and identification of high-priority topics. To address such issues, this work proposes a GATE preparation AI-powered Chatbot, integrated with a syllabus-aware query answering and a Question and Syllabus Trend Prediction System. In an approach to provide relevant and accurate responses to the queries of the students, the chatbot is designed using NLP and RAG. Adding this, a machine learning-based trend prediction platform has been initiated, which can analyzethequestionpapersfrompreviousyearstodothe prediction of the the topic-level importance and the frequency of questions that might come in upcoming examinations. The sum of these features results in an intelligent and accessible learning toll which can work collaborativelywiththestudentsduringtheirstudypath. Thesystemtargetsatreducingmentalloadbyimproving the efficiency in self-study and letting the students more focus on high-value areas with backing data.
The Smart Travelling Assistant is a web-based travel support system created to make planning and exploring destinations easier through intelligent automation and context-aware guidance. Developed with React JS for the frontend and Flask for the backend, it brings a wide range of travel services together on a single platform. It offers AI-based destination planning, real-time flight and hotel suggestions, booking of verified local guides, access to emergency hospitals nearby, and cultural insights that help travelers understand new places better. The system uses Geoapify and Google Maps API for location detection, while Gemini AI generates personalized cultural and dietary recommendations. To improve accessibility, it supports voice interaction, multilingual usage, and secure data exchange for safe communication. Altogether, the Smart Travelling Assistant becomes a reliable digital companion that assists travelers in planning, booking, and discovering destinations conveniently, safely, and confidently.
This article presents an all-in-one property management system that offers tools that grow with your needs. It uses AI-driven methods and is built on key technologies like React.JS, Express.JS, Prisma ORM, and MongoDB Atlas. The system also includes features that use the Google Gemini API for voice interaction and provides instant support through a chatbot. Several sections of the article focus on the technical aspects of the system. This includes discussing the platform's architecture and how data flows through the system. It also covers how AI has been integrated into the property management solution by examining current trends and technologies. This integration allows for automated data discovery and the generation of smart recommendations using the system's AI capabilities.