Volume 13 | Issue 4

 Abstract

It is a modern, user friendly application which is used for automation of attendance taking of departments, educational institutions and workplaces. It makes use of facial recognition technology correctly and recognizes and authenticates the id of individuals with no need to rely on the manual method of identification and verification, which is inefficient and inaccurate. By utilizing this system to keep track of attendance in real time and compiling a database in an intuitive interface, has been made possible. The primary purpose of the project is to increase productivity, lower administrative workload, and guarantee a solid attendance management process. Moreover, the system includes security features, data analysis tools and provides enlightening reports that allow administrators view attendance trends and ensure compliance. Using an automated solution such as this allows organizations to move efficiently, minimize the role of the human factor, and promote a more disciplined working environment. The purpose and scope of the system are explained in this document, together with the design methodology and a literature review showing its importance and the possibility of its utilization. The innovation of the FaceTrack AI based Attendance Management System is an automated approach of improving the existing process of attendance tracking in both educational as well as professional environment. It uses the facial recognition technology which assures accurate, secure and realtime attendance marking and removes the human errors and fraud entries which usually happens in manual marks. Advance machine learning models have been used in the system to detect and recognize the face effectively and also with a friendly web application for management purposes. It has significant features which are scalable and efficient such as biometric authentication, database integration and automated report generation. Moreover, data visualization tools found in an admin dashboard facilitate the ability to analyze the data insightfully, which equips the decision making processes with sound knowledge.

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 Keywords

Attendance Trends, Biometric Authentication, Automated Report Generation, FaceTrack.

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Artificial intelligence together with deep learning technology has enabled the development of intelligent systems which reduce complexities in different daily life processes. The process of identifying suitable recipes for existing ingredients remains difficult for most people within the culinary domain. Users can benefit from this solution named "DishGenie - Recipe Recommendation System using Deep Learning" because it generates recipe recommendations from their provided ingredients. Having Convolutional Neural Networks (CNNs) and Natural Language Processing (NLP) as deep learning models allows the system to process textual data and recognize ingredients through images. Flask enables a user-friendly interface which allows people to enter ingredients to receive customized recipe recommendations and handle their personal recipe lists. The system combines structured database storage which verifies ingredients and maintains recipes alongside its operational functions. DishGenie implements artificial intelligence image identification with data-based recipe structuring coupled to an adaptive recommendation system that transforms eating experiences while reducing culinary waste through stimulated kitchen innovation. This document offers complete details about project development alongside its goals and actual influence on outcomes.The software system allows customization based on individual user food needs and recipes because it automatically adjusts to specific dietary rules and cooking abilities. The recommendation engine uses intelligence to evaluate ingredients for creating multiple recipes including standard daily meals together with sophisticated restaurant-style dishes. Supplementing features through external API integration allows users to access YouTube recipe videos along with nutritional details and substitute ingredients on the platform. The features at DishGenie enable users to select meals with knowledge while saving food and trying innovative cooking approaches.

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 Keywords

Artificial Intelligence, Deep Learning, DishGenie, Convolutional Neural Networks (CNNs).

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Outpassify functions as a web and mobile application which optimizes the student outpass approval and request workflow within educational institutions. The traditional approach to acquiring out passes takes too much time due to manual processes thus making operations less efficient while creating substantial delays. As an application Outpassify works to digitize manual processes and automate outpass requests to provide enhanced transparency and security together with easier student and administrative access. Through its easy-to-use interface users can present outpass requests that include their cause for absence along with exit date and time. The service transfers submitted requests to administrative departments to complete approvals through an automated process. The system notifies students about their application status as well as provides live updates which minimize student questions and confusion related to the process. Outpassify employs extensive authentication systems that protect both user accessibility and maintain defense of information data. Security for the application is maintained by authentication processes which also produce digital records for improved monitoring while meeting compliance requirements. A digital log incorporates all approved and rejected requests in the system which facilitates better record-keeping for institutional administration analysis. Outpassify enhances outpass management operations due to its capability of streamlining documentation and cutting administrative workloads which results in more efficient processes. The cloud-based design enables broad usage across multiple devices which make it the right solution for educational institutions implementing contemporary permission management systems. The enhanced communication channel of Outpassify allows students to contact administrators in order to maintain timely and transparent processing of their requests. Through modern technology Outpassify delivers correct information without mistakes thus establishing a robust and dependable student permission management process.

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 Keywords

Outpassify , Institutional Administration Analysis, Administrative Workloads.

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 Abstract

The quick progress in human-computer interaction resulted in creating better input systems like gesture-based systems that allow users to control digital devices through hand movements. The goal of this project named "Smart Gesture Recognition and Cursor Control" targets a complete transformation of computer user interfaces by applying real-time hand signal recognition features. Through integration of OpenCV alongside MediaPipe and PyAutoGUI the system uses natural hand movement detection to generate executable commands which control the cursor and operate the system and handle the windows. The system uses basic camera equipment to keep costs low while deploying across different devices and demanding no specialized hardware requirements. Implementation of the system depends on two crucial components which include tracking hand landmarks through computer vision and executing system commands based on machine learning algorithms. Through the proposed solution users complete different tasks such as cursor movement along with clicks and scrolls that enhance volume adjustment and manage all application windows while tapping into screenshot and window control functions which all function without traditional hardware like mice or keyboards. User accessibility receives major advancement via this technology because it creates a substitute interface that helps people with disabilities avoid conventional hardware constraints. This technology operates as a hygiene measure by creating a touchless computing system that delivers advantages for shared workspaces as well as healthcare and public terminal environments. This research achievement marks a necessary advancement in touchless computing because it enables seamless communication between human body movements and machine reaction. The combination of AI-driven gesture recognition functionality with system control creates better user experiences that will lead to new VR, AR and smart home automation developments. Such technology has the potential to transform digital interaction if additional developments are made which will make computers more efficient and interactive and accessible for users.

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 Keywords

Touchless, OpenCV, Cursor Control, Smart Gesture Recognition, Gesture Recognition.

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MindWell AI is a project that provides both AI mental health assessments and chatbot chat support. The project has a Flask based backend and its frontend is based on React having features like JWT authentication and prediction of mental health disorders with the help of machine learning model. In this document, I explain the motivation behind and the scope of this project and state the problem that this system tries to solve focusing on the model that it adopts, followed by the literature review. They wanted to provide an intuitive and interactive platform to help improve the access to mental health support by allowing users to self assess their own well being and get guidance. Mental health troubles being on the rise, there is a high urge for tech solutions. Large segment of the population undergoes stress, anxiety, and depression which makes AI based interventions required. The aim of this project is to close the gap between professional mental care and people seeking first assessments. The system, utilizing predictive analytics and chatbot interactions gives them a nonjudgmental, affable, and informative platform to interact with. Additionally, the platform for scalability and security, aiming it with best industry practices to defend the user data. With modern web technologies integrated, we are able to provide a very smooth user experience, and keep the service up and running using continuous testing and monitoring of its performance. With mental health being one of the most important aspects to a person's overall health, MindWell AI takes the cake as a big step towards making health resources accessible, combining technology with empathy to create a friendly environment.

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 Keywords

MindWell, Mental Health Assessments, JWT Authentication.

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 Abstract

Digitalization, the process of converting information into digital formats, has become integral to modern life, profoundly transforming business models and societal structures in the 21st century. This technological evolution has shifted India from an informal, low-productivity economy to a high-productivity, formal digital powerhouse. By enhancing knowledge sharing, interactive communication, and governance, digitalization fosters significant social progress. This paper reviews how digitalization has revolutionized sectors like finance and healthcare, improving accessibility, efficiency, and cost-effectiveness. It also examines the associated challenges, including the digital divide, data privacy, and cybersecurity concerns. The research underscores the potential of digitalization to empower societies but also highlights the need to address these challenges to ensure equitable benefits. The paper aims to provide a comprehensive overview of digitalization's role in social empowerment and its impact across various domains.

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 Keywords

Digital Era, Digital Platform, Digitalization, ICT, Social Empowerment, Society.

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This study explores the concept of organizational culture and its profound impact on employee behaviour within the workplace. Organizational culture is defined as the shared values, beliefs, and practices that influence the way employees interact, perform, and contribute to the organization's goals. This research aims to identify the key dimensions of organizational culture and how these dimensions shape employee behaviour, motivation, and overall work performance. The study highlights the importance of a positive organizational culture in fostering a productive and harmonious work environment. By examining various organizational culture models, the research investigates how cultural elements such as leadership style, communication patterns, and employee engagement can directly impact employees' attitudes, job satisfaction, and commitment. Additionally, the research evaluates how employees' behaviours are aligned or misaligned with the core values of the organization and the outcomes that result from this alignment. The findings suggest that organizations with a strong, clearly defined culture tend to have more motivated employees who are engaged, productive, and aligned with organizational goals. On the other hand, a misalignment between organizational culture and employee behaviour can lead to low morale, decreased performance, and higher turnover rates. Therefore, organizations need to prioritize the cultivation of a positive and supportive culture to enhance employee behaviour and drive organizational success. In conclusion, this study emphasizes the critical role that organizational culture plays in shaping employee behaviour and influencing the overall performance of an organization. It recommends that organizations regularly assess and align their culture to meet the evolving needs of both the business and its workforce for long-term growth and success.

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 Keywords

organizational culture, workforce, workplace, positive organizational culture, employees, motivated

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Creative Commons Attribution 4.0 and The Open Definition

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Employee wellness has emerged as a fundamental factor in driving organizational success, directly influencing productivity, job satisfaction, and overall efficiency. As businesses strive for competitive advantage, integrating holistic wellness programs has become crucial for fostering a motivated and engaged workforce. A well-structured wellness program significantly reduces absenteeism, minimizes stress levels, and enhances employees' mental and physical health, ultimately leading to higher performance levels. This paper delves into the critical relationship between employee wellness and efficiency, emphasizing the role of mental health support, flexible work arrangements, fitness programs, and stress management initiatives. Furthermore, it highlights the long-term benefits for organizations that prioritize employee well-being, including higher retention rates, improved workplace morale, and sustained productivity. The study also presents practical recommendations for implementing effective wellness strategies, ensuring a balanced and thriving work environment

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 Keywords

Employee wellness, workplace productivity, stress management, work-life balance, job satisfaction, employee engagement, mental health, physical well-being

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 Abstract

Nanostructured lipid carriers (NLCs) represent a cutting-edge drug delivery system designed to overcome the limitations of conventional chemotherapy. NLCs, consisting of both solid and liquid lipids, offer a versatile platform for the encapsulation of chemotherapeutic agents. Their biocompatibility, enhanced stability, and ability to bypass biological barriers make them ideal for targeted cancer treatment. These carriers improve drug solubility, reduce toxicity, and enhance therapeutic efficacy by enabling sustained and controlled release of anticancer agents. Additionally, NLCs offer the advantage of minimizing multidrug resistance by modulating drug delivery at cellular levels. This review provides a comprehensive overview of the structure, preparation techniques, and characteristics of NLCs, along with their potential applications in chemotherapeutics. It highlights recent advancements and challenges in using NLCs for cancer therapy, offering insights into future directions for optimizing this promising nanotechnology in clinical settings.

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Nanostructured Lipid Carriers, Chemotherapeutic Agents, Drug Delivery Systems, Drug Targeting, Lipid-Grounded Nanoparticles. 8

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Introduction : Forward Head Posture is a common habitual postural malalignment often present since a young age and often observed in individual who spend a lot of time sitting and reading or working at a computer. Many cervical muscles are affected in forward head posture. Musculoskeletal disorders are also related to Forward Head Posture. Due to prolonged use of computers and poor ergonomics along with sedentary lifestyle, forward head posture is common among I.T. workers. So for this reason forward head posture should be identified by measuring the craniovertebral angle. Effectiveness of Integrated Neuromuscular Inhibition Technique (INIT) as an adjunct to Conventional Physiotherapy on forward head posture is studied to check whether they can decrease forward head posture in I.T. workers. Method : 42 I.T. workers both male and female in age group 18-30 years having forward head posture with trigger points at upper trapezius and levator scapulae were included and divided into two groups. People with neuromuscular & musculoskeletal disorders and those with history of shoulder arthroplasty or injury were excluded. Group A (INIT along with Conventional Physiotherapy) Group B (Conventional Physiotherapy) for a period of 2 weeks. For Group A, INIT - Integrated Neuromuscular Inhibition Technique and Conventional Physiotherapy were given for 4 times per week for 2 weeks and for Group B, Conventional Physiotherapy was given for the same period of time i.e. 4 times per week for 2 weeks . After 2 weeks, Craniovertebral angle was measured again of both the groups. Wilcoxon Signed rank test was performed to test the significance within the pairs and Mann-Whitney U test was performed to test the significance between the differences in the two groups. Result : There was high statistical significance within the pairs of each group (p-value < 0.0001) and there was no significant difference between the differences of each group (p-value 0.212). Mean comparison was done for Craniovertebral angle before and after treatment of each group. It was found that due to additional INIT treatment for one group, mean difference for that group was slightly greater. Conclusion : There is no as such significant difference between INIT as an adjunct to Conventional Physiotherapy and Conventional Physiotherapy on forward head posture. But clinically, INIT as an adjunct to Conventional Physiotherapy is more effective in reducing forward head posture in I.T. workers.

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 Keywords

Integrated Neuromuscular Inhibition Technique, Craniovertebral angle, Forward head posture.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

"Real is Rational. Rational is Real" This great quote comes from the great German Idealist Georg Wilhelm Friedrich Hegel. He was one of the most influential German philosophers who is read widely even in our contemporary times. In the above quote we clearly understand his philosophy. Here we understand his concept of reality. Like Plato, Hegel too believes that idea is real, in turn, real is rational. Thus whatever can be understood by the use of reason is real. He also says that 'Idea as real reality' can be understood only by application of reason. Anything understood by empirical evidence is not real, rather shadow of real. Hegel is a 'Rationalist', who believes that human emancipation can be realised only by reason. Hegel has used the concept of 'Dialectics' to show the nature of movement of History. History for Hegel is a movement of 'Absolute Idea'. He has given the three laws of Dialectics: 1. Unity of opposites: It means in all the things exists its contradiction. Contradiction is a force of history. 2. Negation of Negation: As per law of history, force negativity gets negated. 3. Quantity changes into Quality: Changes do not happen overnight, first, quantitative changes take place and it gives rise to qualitative change. It may appear new but it is not entirely new. New has its roots in the old. Once contradiction ends, history ends.

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 Keywords

Symbolic Art, Classical Art, Romantic Art, Architecture, Sculpture, Painting, Music, Poetry

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E-pharmacy has emerged as a significant aspect of the healthcare industry, offering convenience and accessibility to consumers. This study explores consumer behaviour, usage patterns, and the factors influencing the adaptation of e-pharmacy services in Gujarat. The research highlights the benefits and challenges associated with e-pharmacies while providing insights into strategies for improving their adoption. The study employs a mixed-method research approach, analysing survey responses and industry trends. Findings indicate that digital literacy, pricing advantages, and regulatory frameworks significantly impact consumer adoption. This research contributes to the growing discussion on digital healthcare adoption in India.

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 Keywords

E-pharmacy, Consumer Behaviour, Digital Healthcare, Online Pharmacy, Gujarat, Adaptation, E-commerce Healthcare

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Creative Commons Attribution 4.0 and The Open Definition

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Prosthetic arms have significantly improved the quality of life for individuals with amputations, enabling them to regain functionality. However, a critical challenge persists: controlling the precise amount of force when interacting with objects. This project addresses the issue by integrating Electromyographic (EMG) signals, voice commands, flex sensors, and fire sensors into a prosthetic system. The EMG signals are utilized to estimate the user's intended force, enabling the prosthetic to adapt its grip to handle soft objects delicately and firm objects securely, mimicking natural hand functionality. The voice command interface allows for the execution of complex hand movements with greater accuracy by combining muscle signals and spoken instructions, ensuring seamless and intuitive control. Additionally, flex sensors are incorporated to detect the bending of fingers, providing real-time feedback on hand positioning and enhancing the system's ability to perform intricate tasks. A fire sensor is integrated as a safety feature, enabling the prosthetic to detect and respond to hazardous heat or fire situations, thereby protecting the user from potential injuries. This multifaceted design ensures the prosthetic arm offers users improved control, precision, and safety. By allowing users to perform a wide range of tasks with the appropriate force and accuracy, the system enhances their independence and overall quality of life.

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 Keywords

Prosthetic Arm , Electromyographic Signals , Voice Command Control , Force Control,Adaptive Grip Mechanism

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The research "A Study on Job Search Opportunities through Social Media Platforms" explores factors influencing job search engagement, focusing on LinkedIn's role in digital recruitment. It examines the impact of networking, employer branding, and recruiter outreach on career decisions. Using a descriptive design with a sample of 106 job seekers, the study employs percentage analysis, Chi-square, ANOVA, and correlation tests. Findings highlight LinkedIn's effectiveness in enhancing professional visibility and personal branding. The study emphasizes employer branding and recruiter outreach in attracting applicants. Recommendations help job seekers optimize LinkedIn profiles for better job search success

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Job search opportunities, social media platforms, LinkedIn, digital recruitment, networking, employer branding, recruiter outreach, career decisions, professional visibility, personal branding, descriptive design, percentage analysis, , job seekers, LinkedIn profile optimization.

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Creative Commons Attribution 4.0 and The Open Definition

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The increasing need for efficient and automated attendance management systems has led to the development of face recognition-based solutions. Traditional methods such as manual attendance and RFID systems are prone to inaccuracies and inefficiencies. This research presents an automatic attendance system using Raspberry Pi and the Viola-Jones algorithm, integrated with OpenCV for real-time face detection and recognition. The Viola-Jones algorithm, known for its rapid and accurate face detection, is employed to identify faces in a live video feed captured by a camera module connected to the Raspberry Pi. The system preprocesses the images, extracts facial features, and matches them against a pre-stored database for authentication. Experimental results demonstrate that the proposed system achieves high accuracy and efficiency in different lighting conditions and facial orientations. The integration of Raspberry Pi ensures a low-cost, portable, and scalable solution suitable for academic institutions and workplaces. Conclusively, the study highlights the effectiveness of the Viola-Jones algorithm in real-time attendance monitoring, providing a secure, contactless, and reliable method for identity verification. Future enhancements could include deep learning techniques to improve recognition accuracy and adaptability in complex environments. This research contributes to the growing demand for automated biometric attendance systems by offering a practical and cost-effective solution.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Face Recognition, Viola-Jones Algorithm, Raspberry Pi, OpenCV, Automatic Attendance System, Real-Time Face Detection, Biometric Authentication, Contactless Attendance, Image Processing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Nowadays the sleep cycle of the people was completely affected due to the electronic screen time, physical inactivity, caffeine before bedtime, irregular sleep schedule, light exposure, stress, depression, etc. This results in fatigue and lethargy, bipolar disorder, insomnia, cognitive impairment, premature aging, mood-related disorder, reduced quality of life, increased risk of accidents, weakened immune system, cardiovascular problems, etc. So, the sleep mask is used to improve the sleep cycle of an individual. It increases melatonin secretion, reduces eye strain, and provides relaxation and stress relief. This eyemask made with bamboo fabric is also known for being hypoallergenic in nature and also contains antimicrobial properties in nature that help to reduce the growth of microorganisms. Which produce comfort and breathability result in reduced stress and improved relaxation to the wearer. The ingredients present in the eye mask are hibiscus (Hibiscus sabdariffa), maritime pine (Pinus pinaster), jojoba oil (Simmonds chinensis), and vetiver essential oil (Chrysopogon zanioides). The hibiscus (Hibiscus sabdariffa) consists of anti-inflammatory properties, which help to reduce eye puffiness; antioxidant properties, which help to prevent the skin from damage; and soothing and calming effects on the skin, which help to reduce stress and result in relaxation, resulting in improved sleep quality. The maritime pine (Pinus pinaster), jojoba oil (Simmonds chinensis), and vetiver essential oil (Chrysopogon zizanioides) are all anti-inflammatory, which aids in reducing eye puffiness and soothing the skin. The maritime pine (Pinus pinaster) also contains antiseptic properties, which helps to arrest the eyes from infection. The jojoba oil (Simmonds chinensis) consists of moisturizing properties that aid in nourishing the skin. The vetiver essential oil (Chrysopogon zizanioides) consists of soothing properties that relieve the skin from stress and result in increased relaxation. While merging these ingredients by the boiling method, that results in eliminating eye puffiness, dark circles, promoting relaxation, eliminating stress, improving skin hydration, and increasing the sleep cycle.

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Eye puffiness, improve sleep cycle, Reduce stress, Skin hydration, Pinus pinaster, Chrysopogon zanioides.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Kamala Markandaya was really concerned with the plight of rural India before independence. Amid several afflictions, starvation and humiliation are the most distressing and repugnant preoccupations, according to her perspective. These afflictions also reflect societal issues in India before independence. In her many works, she has addressed various struggles pertaining to aspects of Indian society, such as social and political issues. The novels depicted below exemplify the deterioration of characters, leading them into a horrific predicament after all else has transpired.

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Creative Commons Attribution 4.0 and The Open Definition

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starvation, humiliation, distressing, horrific, deterioration

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Creative Commons Attribution 4.0 and The Open Definition

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The agricultural sector plays a crucial role in global food security, yet plant diseases significantly impact crop yields and quality. Traditional disease detection methods rely on manual inspection, which is time-consuming and prone to errors. This paper explores the application of Artificial Intelligence (AI), specifically Convolutional Neural Networks (CNNs), in detecting plant diseases through leaf image analysis. Using publicly available datasets like PlantVillage and AI Challenger 2018, we preprocess images, train deep learning models, and evaluate performance using accuracy, precision, recall, and F1-score metrics. The proposed approach aims to enhance disease identification efficiency, offering a scalable solution for modern precision agriculture. Future work includes integrating environmental data and deploying real-time mobile applications for farmers.

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Creative Commons Attribution 4.0 and The Open Definition

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Plant Disease Detection, Artificial Intelligence, Deep Learning, Convolutional Neural Networks (CNNs), Machine Learning, Image Processing, Precision Agriculture, Computer Vision, Leaf Image Analysis, Smart Farming, Predictive Analytics, IoT in Agriculture, Automated Disease Diagnosis, Sustainable Agriculture, Crop Health Monitoring

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Resin art has revolutionized contemporary jewellery design, offering limitless creative possibilities. This study explores an innovative approach to resin jewellery by integrating photochromic pigments and glow-in-the-dark paints. Photochromic pigments alter their colour when exposed to sunlight or UV light, while glow-in-the-dark paints absorb and emit light in darkness, creating an enchanting dual-effect transformation. The combination of these materials enhances aesthetic appeal and introduces a dynamic, interactive quality to jewellery pieces. This research focuses on optimizing pigment ratios, ensuring durability, and refining resin casting techniques to achieve striking visual effects. Various experimental methods, including layering techniques, controlled curing environments, and pigment dispersion analysis, are employed to enhance colour vibrancy and longevity. Additionally, efforts are made to improve the wearability and sustainability of the pieces, ensuring they remain lightweight and resistant to environmental factors. This innovation paves the way for customizable, mood-responsive jewellery that adapts to different lighting conditions, making it a perfect blend of art and science. The potential applications extend beyond aesthetics, offering functional benefits such as visibility in lowlight conditions and personalized design adaptations. By bridging traditional resin craftsmanship with advanced pigment technology, this study redefines contemporary jewellery, catering to a modern audience seeking uniqueness and interactivity in their accessories.

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Keywords: Glow-in-the-Dark, Interactive Design, Photochromic Pigment, Resin Art, Fashion Accessory.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition