Volume 14 | Issue 4 |

 Abstract

Conducting trustworthy examinations in fully remote settings remains one of the most unresolved problems in contemporary digital education. Without a physical supervisor present, candidates gain opportunities to exploit resources, seek external assistance, or misrepresent their identity -- undermining the credibility of the entire assessment process. This paper introduces ProctoGuard, an intelligent web-based examination platform that addresses these vulnerabilities by weaving together artificial intelligence, real-time behavioral sensing, and automated learning support into a cohesive system. Rather than relying on a single monitoring signal, ProctoGuard operates across three simultaneous channels: a computer vision channel that applies facial landmark tracking to confirm candidate identity, detect unauthorized individuals within the examination frame, and observe lip movement as evidence of spoken communication [12], [14]; an acoustic channel that samples the candidate's surrounding environment through the device microphone and applies frequency analysis to distinguish human conversation from ambient noise [10], [18]; and a browser-event channel that intercepts application-switching, page-reload, and external-navigation actions the moment they occur [22]. Infractions detected across any channel are logged against the session in real time, with mild violations prompting on-screen warnings and repeated or serious violations triggering automatic finalization of the examination -- removing further opportunity for dishonest conduct without manual intervention [16]. Once an examination concludes, an automated scoring engine evaluates responses immediately and an AI-driven explanation module powered by the Google Gemini API [3] produces question-level conceptual feedback tailored to each candidate's submitted answers, converting the post-exam review into a structured learning opportunity. The platform is developed using Python and the Django framework, with MySQL providing relational data storage and Apache handling web server deployment through XAMPP [17]. Testing conducted in a controlled simulation environment confirmed an overall malpractice detection rate of 94.8%, with browser-level violations intercepted at 100% accuracy and visual and acoustic violations detected at rates ranging from 85% to 97%. All core platform operations completed within two seconds, demonstrating responsiveness suitable for live institutional use. The layered, component-based architecture of ProctoGuard ensures that the system can be extended, scaled, and maintained with minimal disruption, making it a practical and affordable option for academic institutions seeking a self-hosted solution to the challenge of secure remote assessment [15], [25].

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Remote Examination Security, Intelligent Proctoring, Behavioral Violation Detection, Facial Landmark Analysis, Acoustic Monitoring, Browser Event Tracking, Automated Assessment, AI-Generated Feedback, Django, Academic Integrity

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rise of e-commerce and digital platforms has reshaped and explored the perception of consumers to interact with FMCG products. Branding is essential for companies to invest in marketing strategies to enhance consumers' perceptions and face the competitive market in FMCG products. A descriptive research design and random sampling method are used with 102 respondents from Structured with close-ended questions. It concludes that the authorities focus on maintaining a strong brand image through the quality of the products putting effort into marketing strategies and ensuring the networks for the availability of the product to improve consumer perception.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Consumer perception, brand reputation, price, availability, strategies

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study examines the impact of parental involvement and self-efficacy on the problem-solving ability of secondary level students. Recognized as a key 21st-century skill, problem-solving ability is essential for academic success and effective decision-making. Despite extensive research on academic achievement, limited studies have explored the combined influence of parental involvement and self-efficacy on problem-solving ability. A descriptive survey method was employed on a sample of 120 secondary students selected through purposive and random sampling from CBSE schools in Agra. Standardized tools were used to measure parental involvement, self-efficacy, and problem-solving ability. Data were analyzed using mean, standard deviation, and ANOVA techniques. The findings indicate that both parental involvement and self-efficacy significantly influence problem-solving ability, with a notable interaction effect. The study highlights the importance of supportive home environments and strong self-belief in enhancing students' cognitive skills, offering implications for educators and policymakers.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Parental Involvement, Self Efficacy, Problem Solving Ability, Academic Achievement

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The improvement in modern lifestyles has increased the need for maintaining safe and comfortable indoor environments. People are now more aware of how environmental conditions influence health, productivity, and overall well-being. Therefore, continuous monitoring of residential environments has become essential. This study presents the development of an intelligent monitoring system that utilizes Internet of Things and Cloud Computing technologies. The system collects real-time data using sensors and transmits it through IoT networks for further processing in a cloud platform. This approach enables efficient storage, analysis, and remote access to environmental data. A structured system design is proposed, including hardware components, software configuration, and data integration techniques. The system is implemented in a residential setting, where environmental parameters are monitored over time. The use of a fuzzy-based data fusion method improves measurement accuracy, maintaining error levels within 0 to 0.01. Additionally, the system evaluates indoor comfort using a standardized index, ensuring reliable and intelligent monitoring.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Internet of Things, Cloud Computing, Environmental Monitoring, Smart Home, Sensor Integration, Data Analysis.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Floods are among the most destructive natural disasters, causing severe loss of life, large-scale property damage, and disruption to agriculture, transport, and public infrastructure in many regions of the world. Many flood-prone areas, especially rural and developing regions, lack affordable and reliable systems that can continuously monitor rising water levels and intense rainfall in real time. This paper presents Innovative Flood Guard, a low-cost, embedded, standalone flood early-detection system that continuously monitors water level and rainfall using an ESP32-based microcontroller, a waterproof ultrasonic sensor, and a resistive rain sensor. Real-time sensor readings are filtered, compared against predefined safe, warning, and danger thresholds, and mapped to a three-level alert logic that drives local visual and audible alarms through LEDs, a buzzer, and an optional high-decibel siren. The system is powered by a solar-assisted battery supply and enclosed in a weather-proof housing for long-term outdoor deployment. Experimental testing under controlled conditions demonstrates that the prototype measures water level with good accuracy, distinguishes between light and heavy rainfall, and triggers alerts almost instantaneously once thresholds are crossed, making it suitable for localized, real-time flood monitoring in resource-constrained environments. The modular design also allows future integration with IoT services such as cloud dashboards and messaging applications for remote notifications and long-term data logging, while keeping the core unit fully functional in offline mode.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Flood monitoring, early warning, ESP32, ultrasonic sensor, rain sensor, embedded system, IoT-ready design, standalone alerting

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Introduction: Phyto-pectin-based hydrogels have emerged as promising biomaterials for advanced dermatological applications due to their biocompatibility, biodegradability, and bioactive potential. The present study focuses on the formulation and evaluation of a phyto-pectin hydrogel as a dual therapeutic system for skin healing and depigmentation. Methods: Pectin extracted from plant sources was combined with selected phytochemicals rich in phenolics and flavonoids to develop a stable, flexible, and moisture-retentive hydrogel. The formulated hydrogel will be assessed for favorable physicochemical properties, including optimal pH, swelling behavior, characterization and cell line assay to determine its suitability for topical application. Results: In vitro assessments is expected to demonstrated enhanced wound-healing activity through improved cell proliferation, migration, and collagen deposition, along with effective antioxidant and anti-inflammatory effects. Additionally, the hydrogel showed significant depigmenting potential by inhibiting tyrosinase activity and reducing melanin synthesis. Conclusion: The synergistic action of phyto-derived bioactives and the pectin matrix supports sustained release and localized therapeutic effects. Overall, the phyto-pectin hydrogel represents a multifunctional, eco-friendly, and safe platform with strong potential for use in skin repair and depigmentation therapies.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Plant extract, Hydrogel, Antioxidant, Characterization, Cell line assay

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

It is challenging for traditional computing methods to interpret biological data since it is inherently high-dimensional, complex, and ambiguous. Traditional approaches' accuracy and reliability are sometimes limited by things like the nonlinear dynamics of biological systems, noise in experimental data, variability in gene expression, and a lack of clinical records. Soft computing's tolerance for imprecision, ambiguity, and partial truth makes it a helpful paradigm to address these problems. Techniques such as hybrid models, fuzzy logic, evolutionary algorithms, and artificial neural networks offer flexible frameworks for analyzing a variety of biological data and spotting important patterns. The use of soft computing in systems biology, proteomics, genomics, disease prediction, and drug development is highlighted in this paper, which looks at how it can handle the ambiguity and complexity of biological data. Case studies demonstrate the application of soft computing approaches in gene expression analysis, protein structure prediction, and medical decision support systems. A contrast with older methods demonstrates the adaptability and robustness of soft computing in addressing complex biological concerns. The paper's conclusion discusses the limitations, integration with big data frameworks, and potential avenues for future research, emphasizing the growing significance of soft computing in the development of customized medicine and computational biology

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Soft Computing, Biological Data, Uncertainty, Fuzzy Logic, Computational Biology

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Agriculture plays a crucial role in the economic development of many countries, especially in rural regions where farming is the primary source of livelihood. However, the traditional agricultural marketing system involves multiple intermediaries such as wholesalers and retailers, which reduces farmers' profits and increases the final price for consumers. Farmers often face challenges such as price fluctuations, delayed payments, limited market access, and post-harvest losses. At the same time, consumers may not always receive fresh products at reasonable prices. The project titled "Farms to Home - Products Directly from the Farmers" proposes a digital platform that connects farmers and consumers directly through a mobile application. The system eliminates middlemen and provides a transparent marketplace where farmers can register, upload product details, set prices, and manage orders. Consumers can browse available farm products, place orders, make secure online payments, and receive home delivery. The system is developed using Android technology with a cloud-based database to ensure real-time data access and secure transactions. It includes modules for farmers, customers, and administrators to efficiently manage products, orders, and payments. The platform aims to improve farmers' income, provide fresh and affordable products to consumers, reduce post-harvest losses, and promote digital transformation in agriculture. Overall, this project offers a sustainable and technology-driven solution to strengthen the direct farm-to-consumer supply chain

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Farm-to-Home System, Direct Farmer-Consumer Connectivity,Digital Agricultural Marketplace

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Non-monetary benefits refer to rewards and advantages provided to employees that do not involve direct financial payment, addressing employees' psychological, emotional, and social needs. Employee performance reflects how effectively an employee carries out job duties and responsibilities to achieve organizational goals. This study examines the impact of non-monetary benefits on employee performance at Hiranmayee Rubber, Madurai. Data was collected from 100 employees using a structured questionnaire and analysed using descriptive statistics, correlation analysis, and regression analysis through SPSS. The results reveal a strong positive relationship between non-monetary benefits and employee performance (r = 0.676, p = 0.000), with non-monetary benefits explaining approximately 45.6% of the variation in employee performance. The findings confirm that promoting non-monetary benefits such as recognition, career development, work-life balance, job autonomy, supportive leadership, and a positive work environment can significantly improve employee performance and organizational effectiveness.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Non-Monetary Benefits, Employee Performance, Recognition, Career Development, Work-Life Balance, Hiranmayee Rubber.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents a personalized AI-driven chatbot, alongside a corresponding personalized application framework to foster the mental health of women by offering emotional support and estimating stress levels, besides offering contextualized responses with an empathetic approach. The system uses sentiment analysis, machine learning, and large language models (LLMs) to provide continuous and personalized interactions. A decision tree classifier is used to predict stress levels and VADER sentiment analysis and the PHQ-9 depression screening tool are used to provide additional support in the diagnosis. Rather than discussing certain stigmas and lack of access to care, the memory function of the chatbot maintains participation by storing user interaction history while providing subsequent agent interaction in a secure manner. Through the use of LLMs such as Mistral, scikit-learn, flaks, and python, this system is shaping up to facilitate better handling of mental well-being for women, as well as aiding in early detection of mental health issues.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Customized Health Embassy, Women Mental Health, Sentiment Analysis, Stress Prediction, PHQ-9, Large Language models, Memory Module, AI Chatbot.

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Creative Commons Attribution 4.0 and The Open Definition