Welcome to Gnanaganga – The Digital Repository of Alliance University’s Research!

-- Preserving Knowledge, Empowering Innovation --

 

The repository offers metadata for Alliance University Publications, striving to establish and maintain an archive of the University's academic contributions. It encompasses articles, book chapters, conference papers, and newspaper articles authored by faculty members at Alliance University. Additionally, it includes doctoral theses by research scholars and dissertation reports from students enrolled in various courses.

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    Publication
    Smart Vehicle Traffic Management System Using Iot And Machine Learning
    (25-May)
    B C, Manoj
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    G V, Karthik Kumar
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    Jani, Mrinal N
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    Urban traffic congestion presents very real difficulties, especially to services such as ambulances that are too often held up by stationary, timer-operated traffic signals. To solve this, our project suggests a Smart Vehicle Traffic Management System that incorporates loT and Machine Learning (ML) to allow an adaptive real-time traffic control. The system addresses two main problems; ambulance prioritisation and traffic signal optimisation. It uses YOLO v8 object detection model that detects ambulances from live video feeds with more than 94 percent confidence. At the moment when an ambulance is recognized, the system goes into Manual Mode, overriding the normal traffic signs, and delivering immediate access to the next green light. While there are no emergencies and it is in Automatic Mode, it uses ultrasonic sensors to monitor intra-lane vehicle population and dynamically adjust signal timing. An entirety of the setup is regulated using an Arduino microcontroller with back -up in form of treating trucks as ambulances in case of detection failure, and visual alerts for extra reliability. The system is of low cost, is efficient in energy consumption and scale able to larger urban deployments. In realworld testing, a high accuracy of ambulance detection was observed (>96.2 %), rapid signal switching within 3- 5 s and stable operation in a variety of environments. This project provides a practical, efficient, intelligent solution to the issue of enhancing response time to emergency calls, congestion and the advancement of smart city infrastructure.
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    Smart Surveillance for Real-Time Motorcycle Helmet Detection
    (25-May)
    Ethiswar, Muchherla
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    Chowdary, Yedoti Divigna
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    Reddy, Bellam Sai Chandra Obul
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    Tharun, Katta
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    The high number of people violating the traffic laws especially by motorcyclists who do not wear helmets poses dangerous situations on the roads. Real-time violation recognition capability: In the helmet less biker detection system proposed by us, it uses deep learning models for this purpose. This system records the traffic from cameras and applies the technique known as You Only Look Once V3 or YOLOv8, which detects motorcyclists in the traffic. It works on the logic where different riders are analyzed when acting independently through the parts of a video frame. The system performs these stages: It involved preprocessing the image and extracting frames of the image and finally applying the object detection method to detect the motorcyclists. After a rider’s helmet has been identified, a process that proceeds in real time through the lightweight classifier as to whether the riders wear helmets or not. If the system identifies a rider not wearing a helmet, it shall immediately send out an alert to the relevant authorities with information of the specific area, time and description of the ridder that was identified. The development of the alert system also enhances the time taken by the traffic enforcement agencies to counter issues on the same at an earlier stage. Users can easily view what is being violated to the law along with recorded data by means of a Streamlit web interface. The system operates at a fairly scalable level of system sophistication and can be simply implemented into existing traffic systems configurations with relatively minor demands on added resources. The conducted experiment on the proposed system showed that the proposed system achieved detection results of more than 95% accuracy for the helmetless riders in different lighting situations and with the rider destructive objects. The system adopted also enhances the efficiency of traffic regulations and traffic law enforcement apart from improving road safety by providing efficient check functions that incorporate alerting real time features to check the helmets of motorcyclists. The research team seeks to improve the system in terms of identifying multiple traffic offences and collaborating when the entire system reallocates.
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    Exploring The Human Skin'S Outer Layer Through Immersive Technology
    (25-May)
    K B, Manoj Kumar
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    Jasoria, Kushagra
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    The traditional textbook-based anatomy education is centered on 2D diagrams and cadaver dissections, lacking spatial depth and interactivity. Furthermore, access to cadaver labs is often limited by availability, ethical, and cost concerns, allowing the students fewer hands-on exposures. Despite contemporary educational technology, older methods have not even exploited immersive and interactive technologies to their full extent, impacting knowledge retention and interest. This project aims to bridge these limitations by developing an augmented reality (AR) app devoted to the learning of the human skin anatomy. With Unity, Vuforia, and Blender, we have developed a low-cost and scalable solution that overlays a 3D model of skin anatomy on a real-world image target. It has an interactive user interface that allows users to interact with the model through rotation, zoom, and splitting of layers, giving them a holistic and experiential learning environment. Other aspects include audio descriptions, a user manual, a quiz module, and video integration for improved understanding.The project also describes the practical challenges encountered, including UI design and 3D modeling, and states the solutions implemented to address them. The final product is a robust learning tool that improves learning through immersive technology. Future work includes enhancing the complexity of the 3D model and improving the user interface for more interaction. This AR app demonstrates the power of immersive technology to revolutionize anatomy learning through interactive, accessible, and immersive learning experiences that improve knowledge retention and understanding.
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    Driving School Management System
    (25-May)
    Vijay, K
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    Rangasamy, Rajasekar
    The Driving School Management System (DSMS) is a comprehensive digital platform designed to address the operational, administrative, and pedagogical challenges faced by driving schools in an increasingly complex transportation landscape. As road safety becomes a global priority, driving schools must evolve beyond traditional methods of manual record-keeping, fragmented communication, and reactive management. The DSMS integrates advanced technological solutions to streamline workflows, enhance compliance, and improve the quality of driver education. This 1000-word abstract explores the system’s architecture, functionalities, benefits, and transformative potential for stakeholders, positioning it as an indispensable tool for modern driving institutions. Road safety hinges on the competence of drivers, making driving schools critical pillars of public safety. However, many institutions struggle with inefficiencies rooted in outdated practices: paper-based enrollment, disjointed scheduling, and limited oversight of student progress. These challenges compromise both operational efficiency and educational outcomes. The DSMS addresses these gaps by leveraging automation, data analytics, and cloud-based collaboration. By digitizing core processes, the system empowers driving schools to focus on their primary mission: producing skilled, responsible drivers equipped to navigate modern roads. The DSMS is a modular platform built on a scalable architecture, combining front-end user interfaces (web and mobile) with back-end databases and analytics engines. Its design prioritizes accessibility, security, and interoperability, ensuring seamless integration with existing tools like payment gateways, government licensing systems, and vehicle telematics
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    American Sign Language Recognition Based on Machine Learning and Neural Networks
    (25-May)
    Reddy, P Keerthika
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    Reddy, Chandragiri Deepa
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    R, Vaishnavi
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    Project "American Sign Language Recognition Based on Machine Learning and Neural Networks" intends to create a bridge connecting the deaf and hard-of-hearing community to the rest of the population in terms of communication using artificial intelligence and machine learning approaches. It utilizes the YOLO v8 object detection model and American Sign Language dataset to identify real-time sign language gestures and transcribe them as relevant text. In addition, it includes a speech-to-text module that converts spoken words into text using sophisticated speech recognition libraries. The whole system is developed on the Flask framework, giving a smooth, user-friendly interface. By integrating sign language recognition as well as text-to-speech translation, the project encourages equal and accessible conversation. The intermingling ensures that preferences of both auditory and visual means of communication are taken care of, making the system extremely multi-faceted for practical utilization in education, health, as well as governmental services. To top it, the translated term can be formulated in Kannada, making even wider regionalization accessible. It already detects these specific gestures such as ‘okay’, ‘peace’, ‘thumbs up’, ‘thumbs down’, ‘call me’, ‘stop’, ‘rock’, ‘live long’ and ‘fist’, with the help of a trained classifier. Keywords: Speech-to-Text, Sign Language Recognition, YOLO v8, ASL Dataset, Flask, Deep Learning, Real-Time Translation, Accessibility, Communication Enhancement, AI-based System
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    The Role of Media, Cinema, and Literature in Professional and Vocational Development
    (Anukarsh - A Peer-reviewed Quarterly Magazine, 2023-06)
    Kushwaha, Shravan Kumar
    This research article explores the role of media, cinema, and literature in fostering professional and vocational development. The study aims to investigate how these forms of expression contribute to skill acquisition, knowledge enhancement, and personal growth, ultimately shaping individuals' professional trajectories. By exploring the impact of media, cinema, and literature on various aspects of professional development, such as skill acquisition, networking, personal branding, and cultural competence, this research highlights the significance of integrating these mediums into educational and training programs. The findings of this research indicate that media, cinema, and literature play a crucial role in skill acquisition and knowledge enhancement. Through exposure to diverse narratives and perspectives, individuals develop critical thinking skills, creativity, and problem-solving abilities. Media literacy skills enable individuals to critically analyse and interpret media messages, while cinema serves as an educational tool that enhances understanding of different cultures and perspectives. Literature, on the other hand, enhances communication skills, including reading comprehension, critical thinking, and verbal expression. The implications of this research are significant for educators, trainers, and policymakers. Integrating media, cinema, and literature into educational and training programs can create a more holistic and enriching learning environment.
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    Onset of Ideal priming approach of Professional Courses of Study
    (Anukarsh - A Peer-reviewed Quarterly Magazine, 2023-06)
    Sushmita, Parki
    Teachers may create a stimulating learning environment where students can develop important intellectual and social skills that will benefit them for the rest of their lives by using the correct teaching strategies. A teacher can assist students with a variety of interests, talents, and learning preferences by implementing one of the available frameworks. To increase your student's chances of succeeding in the classroom, whether you work in the education sector as a teacher or another professional, you might find it helpful to learn about cutting-edge instructional practices. Teaching techniques are approaches that teachers can use to make learning easier and pique students' motivation and interest in the material. Different teaching philosophies include game-based study, differentiated study, lecture-based method, technology-based pedagogy, group and individual study, inquiry-based study, kinesthetic study, game-based study, and expeditionary study. You can enhance your methods by trying out various teaching techniques while presenting the same course, communicating with other educators to acquire their insights, and being flexible. Due to the quick changes in the modern world, the Education System is currently dealing with a wide range of problems. An excellent teaching strategy helps students overcome their preconceptions and motivates them to study by putting them in a situation where they start to believe that they are the ones who come up with the solutions and who are responsible for the change. Professors that are respected both nationally and locally serve as ideal role models for educators who are enthusiastic about effective teaching methods of professional courses, providing them with ideas, insights, and the best teaching methods.(Journal of Advances in Medical Education & Professionalism v.4(4); 2016 Oct PMC5065908)
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    Learning of Languages for Quality Teaching in Higher Education: Realization of NEP 2020 Vision
    (Anukarsh - A Peer-reviewed Quarterly Magazine, 2023-06)
    Singh, Anjali
    Language is one of the most marked, conspicuous, as well as fundamental characteristics of the faculties of man. Language is a system of sounds, words, patterns, etc., used by humans to communicate thoughts and feelings. Language is a system of communication which consists of a set of sounds and written symbols which are used by the people of a particular country or region for talking or writing in. The importance of language for man and society cannot be minimized. Language is not only a mode of communication between individuals but also a way for the expression of their personality. Man is remarkably distinguished from animals not only in his use of language but also in his thought process. This use has been termed by Chomsky as “the creative aspect of language; Chomsky suggests that “the normal use of language is innovative, in sense that much of what we say in the course of normal language use is entirely new, not a reception of anything that we have heard before and not even “similar” in “pattern” to sentences or discourse that we have heard in the past” (Chomsky, p.10). Language has its true being in conversation in the exercise and promotion and understanding between peoples. Language should not be a means to impose or transmit my will to another. Above all, language is a living process in which a community of life is lived out. It should be thought that human language as a special and unique living process, in that in linguistic communication, world and human worldview is disclosed. This disclosure, this function of language means that language does not draw attention to itself but transparent to the realities that are manifested through it. Since learning a language is part of our knowledge, it becomes one of the key factors in competitiveness. In the advanced industrial society of today, the basic knowledge of a single or more language has become indispensable.
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