Volume 13 | Issue 6 |

 Abstract

Blindness limits a person's ability to perceive their surroundings, making independent navigation, object recognition, obstacle avoidance, and reading significantly more challenging. This work introduces a novel visual assistance system specifically designed for individuals with complete blindness. The Raspberry Pi 4 Model was selected for the prototype due to its affordability, compact size, and ease of integration. The system incorporates a camera and sensors for obstacle detection, using both distance measurements from ultrasonic sensors and the camera. Advanced image processing algorithms handle object recognition, while a text-to-speech module provides auditory feedback from the integrated reading assistant, which converts images to text.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Assistive Technology, Object Detection, Ultrasonic Sensor, Camera Module, Visually Impaired, Text-to-Speech (TTS), Real-Time Feedback

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Over the past few decades, world has seen humongous technological advancements that have the potential to change the lives of millions of people. Evolving from a tech follower to a pioneering force in the global technology landscape, India has also shifted gears, fostering a culture of tech revolution evident in various fields and Indian Judicial System is no different. The adoption of digital tools and techniques have streamlined the various traditional processes which often result in unnecessary delays and thus make the access to justice easy. Be it is e - filing, e- availability of case records or initiation of e-courts, technology has played an important role in transforming the Indian judicial system and has reappraise the ways of delivering justice. Despite this, the backlog of crores of cases within Indian judiciary is not a hidden truth. So, when the Judicial system is progressing towards the adoption of advanced technology, it is very important to scrutinise the previous efforts and results in order to encounter the future challenges. Thus, through this paper researcher aims to unveil the existing state of Indian judicial system after digitalisation and analyse the integration of Artificial Intelligence within the system. Furthermore, this paper provides an insight on the key challenges that have emerged in the process and ways forward for advancement associated with digitalisation and Artificial Intelligence in the administration of justice so that the technology can be utilised upto its best potential.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Technology, Digitalization, Artificial Intelligence, Challenges, Way forward.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents a comparative analysis of two widely used real-time scheduling algorithms--Earliest Deadline First (EDF) and Rate Monotonic (RM)--with the objective of evaluating their performance and suitability for real-time embedded applications on FreeRTOS. To simulate realistic execution scenarios, synthetic task sets were generated. The performance of each scheduler was assessed based on key metrics such as average waiting time, number of context switches, and CPU utilization. The results indicate that EDF consistently outperforms RM in terms of meeting deadlines, especially under high system loads. EDF also tends to reduce average waiting time; however, it incurs a higher number of context switches. In contrast, RM scheduling leads to increased average wait times but generally results in fewer context switches, which can be advantageous for power-sensitive or resource-constrained systems. Interestingly, for periodic tasks where deadlines are equal to their periods, the performance gap between EDF and RM narrows. In such cases, the efficiency of the scheduling strategy becomes more dependent on the total number of tasks being managed. Overall, the study provides valuable insights to embedded system designers, enabling them to make more informed decisions when selecting the appropriate scheduling strategy based on application-specific requirements.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

FreeRTOS, Kernel, EDF, RM, Scheduler

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Hand-writing question papers is commonly time-consuming 1and inconsistent, particularly while attempting to match academic levels such as Bloom's and Course Outcomes (COs). The project proposes an intelligent and accessible system that fully paper generation in a user-friendly manner, wherein teachers can import syllabus PDFs, establish custom settings, and automatically produce descriptive-only papers and answer keys. The system is cognitive-balanced, allows customizable templates, and uses natural language processing to enable appropriate question selection. Efficient in its design and outcome-based assessment, facilitatesstreamlined assessment processes within academic environments.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Automatic Question Generation, Bloom's Taxonomy, Course Outcomes, Streamlit, Descriptive Questions, Educational Technology

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research paper presents the design, development, and implementation of AI Integrated Learning Platform, a personalized learning system aimed to enhance user learning skills and optimizing learning outcomes using Artificial Learning. The platform integrates personalized learning pathways, dynamic assessments, according to user preferences. This paper discusses the system architecture, key modules, and the methodologies implemented to ensure scalability, security and usability. It specifically highlights the important role of Gemini API integration in achieving real-time content generation, automated grading, conversational AI tutoring, and adaptive assessment, therefore addressing existing gaps in current educational technology solutions.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI in Education, Personalized Learning, Adaptive Learning, Intelligent Tutoring Systems, Machine Learning in Education, Deep Learning Applications, AI-driven Assessments, Educational Technology, Gemini API, Online Learning Platforms.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Plant derived preparations have been essential components for maintenance of oral hygiene and the treatment of oral diseases globally since ancient times.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

"Formulation and evaluation of ayurvedic herbal toothpaste "

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Innovations in Artificial Intelligence (AI) alongside the development of sophisticated deep learning frameworks have made it possible to generate highly realistic synthetic visual imagery. This presents a challenge regarding the authenticity of the media, countering emerging misinformation, and public trust. Suffice it to say, the generation of deepfakes and generic images have made identification and detection increasingly challenging. This paper examines all the existing ways to detect synthetic content which are Digital Watermarking, AI-based Machine Learning, and Statistical Forensics. After analyzing available detection methods, their merits and demerits, and practicality, we highlight the need for effective media deception detection systems, especially those powered by AI that are integrable into pre-existing frameworks

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence, Deep fake, Digital watermarking, Machine learning, Statistical forensics, Generative models

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract Artificial Intelligence (AI) is transforming various aspects of society, influencing employment, education, healthcare, and governance. While AI adoption is increasing globally, its impact at a regional level, particularly in Malappuram District, remains underexplored. This study aims to analyse AI's role in the district by assessing awareness, impact, challenges, and opportunities. Data collected from 100 respondents through structured questionnaires and analysed using statistical tools will provide insights into AI's local influence. The study will contribute to policy formulation and strategic AI implementation in Malappuram.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence, Society, Socio-economic Impact, AI Integration, AI Awareness

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Pain is complex experience, it is the most common reason for physician consultation everywhere. Pain reduces quality of life.it will be acute and chronic. Overuse of the muscle in activities may lead to hyper contracture and tension. Muscle release techniques are very effective on it .By using tennis balls therapy muscles are able to stretch fully and reduces discomfort, pain, and increase blood and lymph circulation with it. Massage therapy which growing in demand and popularity. Hence the objectives of the study was assess impact of tennis ball therapy on pain management among women in selected area of Kudal, Sindhudurg, in the year 2023. A Pre-Experimental Study design was used in this study. The data was collected personally by the researcher through direct observation and pain scale method. The sample was women of age group 35 -50 years selected through simple random sampling technique. In the present study after analysis and interpretation of data with regards of tennis ball therapy on pain management ; There was remarkable improvement in the pain score after giving the tennis ball therapy on the pain. The pre-test pain score was significantly higher than the post test score in working women in selected area of Kudal.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pain, Tennis Ball Therapy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present study of the five times ionized krypton provides the predicted energy levels of the 4p24d and 4s4p4f configurations. Theoretically, this study was supported with the pseudo-relativistic Hartree-Fock (HFR) method with the superposition of configuration interactions implemented in Cowan's suite of codes. For the first time, the 20 and 22 energy levels of the 4s4p4f and 4p2 4d configurations, respectively, have been predicted.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Krypton, Kr VI, Energy levels, Cowan code, Slater'parameters

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Creative Commons Attribution 4.0 and The Open Definition