Volume 14 | Issue 2 |

 Abstract

Accurate weather forecasting is essential for effective planning in agriculture, transportation, disaster management, and daily human activities. This research presents an intelligent weather forecasting application that integrates deep learning-based time series prediction with an AI-powered conversational agent to deliver accurate and accessible weather insights. The proposed system utilizes a Long Short-Term Memory (LSTM) neural network to analyze historical meteorological data collected between 2015 and 2025 and predict key weather parameters, including temperature, precipitation, and humidity. In addition to regression-based forecasting, the model performs weather condition classification such as sunny, rainy, and cloudy states. The framework supports forecasting for ten major Indian cities and provides predictions for up to 30 days ahead. An AI agent powered by Google Gemini enables natural language interaction, allowing users to request forecasts, compare cities, analyze trends, and obtain travel recommendations through conversational queries. The system is deployed using a Flask-based web application with RESTful APIs for real-time access. Experimental results demonstrate an average classification accuracy of 82.62%, with consistent performance across diverse climatic regions. The proposed approach offers a scalable, user-friendly, and intelligent solution for modern weather forecasting and decision support applications.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Weather Forecasting, Deep Learning, Artificial Intelligence, Time Series Prediction, LSTM (Long Short-Term Memory), ARIMA, Hybrid Model, Temperature Prediction, Rainfall Forecasting, Humidity Prediction, Multi-task Learning, Data Preprocessing, Machine Learning, RMSE, MAE, Climate Analysis, Predictive Analytics.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Dark patterns are misleading UI/UX designs that prey on users to make a decision that they did not mean, thus interfering with consumer autonomy and informed choice, which may be unfair trade practices or consumer rights infringements. This research paper discusses the popularity and tactical application of the so -called dark patterns in any of the significant online retailers in India, with a focus on the most frequent dark patterns evident in the Indian market, including false urgency, drip pricing, sneaking baskets, and subscription traps, deceptive techniques used to persuade customers to make purchases. It critically assesses the ethical issues, consumer effects, and regulatory issues of these manipulatives, particularly as more and more enforcement efforts are being made. Empirical observations and scrutiny of the websites show that there are still non -compliance and recurring risks even after regulators focus on them. Besides that, the research includes opinions of customers gathered by use of surveys to evaluate their awareness and experiences of dark patterns in the Indian e -commerce. A large number of those interviewed said they had experienced hidden fees, misleading discount offers, selected terms, and confusing cancellation procedures, and they realized they had been swamped by such pitfalls only after a bad experience. The findings reflect how there is some strong emphasis on regulation mechanisms, explicit design practices, and consumer awareness programs that are more effective in protecting the digital rights of consumers in India.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Dark Patterns, E-commerce, Deceptive UI/UX Design, and Consumer Decision -Making

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Background: Prolonged smart device use among young adults has become increasingly common due to academic, social, and entertainment needs. Excessive screen time contributes to sedentary behaviour, which is a growing risk factor for cardiovascular diseases. College students often lack adequate awareness regarding the health consequences associated with physical inactivity and prolonged smart device exposure. Educational interventions such as handouts may serve as an effective strategy to enhance awareness and promote healthier lifestyle behaviours. Objectives: 1. To assess the baseline awareness regarding sedentary lifestyle and cardiovascular risk factors associated with prolonged smart device use among college students. 2. To evaluate the effectiveness of educational handouts on improving awareness levels. 3. To determine the association between awareness scores and selected demographic variables. Methods: A quantitative pre-experimental one-group pretest-posttest design was adopted. The study was conducted among college students at a selected urban college in Gandhinagar, Gujarat. Participants were selected using a convenient sampling technique. Baseline awareness was assessed using a structured knowledge questionnaire. Educational handouts explaining sedentary lifestyle risks, cardiovascular complications, and preventive strategies were distributed. Post-test assessment was conducted after the intervention to measure improvement in awareness. Data were analyzed using descriptive and inferential statistics. Results: The findings revealed that students had moderate awareness during the pretest. Post-intervention scores showed significant improvement in awareness levels, indicating the effectiveness of educational handouts. A significant association was observed between awareness scores and selected demographic variables such as daily smart device usage and physical activity levels. Conclusion: Educational handouts were found to be an effective, simple, and cost-effective strategy for improving awareness regarding sedentary lifestyle and cardiovascular risk factors among college students. Integrating awareness programs within college health promotion initiatives may help reduce long-term cardiovascular risk.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sedentary lifestyle, cardiovascular risk factors, smart device use, educational handouts, college students, awareness.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

D.H. Lawrence, the man of creative genius, who was often misunderstood and commonly criticized during his life time, had woven a neat and beautiful fabric out of numerous strands of novels, tales, poems, plays, travels and adventure books, literary, social and political essays. He left remarkable marks of his genius in each of these genres. He was hated as a black devil, disbelieved as a prophet and loved and valued as a man and writer. Now that it is more than ninety years since he died, can we not rid ourselves of the black devil and prophet and find the man and writer. Like a great artist Lawrence has turned his personal experiences into the perfect pieces of art. In early tales the conflict between Eastwood and London has been dramatized objectively. Lawrence's friendships and quarrel with Jessie Chambers and Louie Burrows gave rise to a number of stories like "A Modern Lover" and "The Shades of Spring" "England, My England" etc. In the later period Lawrence has transformed his experiences of friendship and fued with John Middleton Murry into beautiful stories like "Jimmy and the Desperate Woman", "The Border Line", "The Last Laugh" and "Smile". Although in these stories Murry has been cruelly ridiculed, it is the 'Murry-type which is Lawrence's satiric target. The biographical materials of the most immediate relevance to the genesis of these four stories are the events and feelings of Lawrence's brief visit to England and the continent in fall and winter of 1923-24.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fabric, Strands, Genres, Fued, Genesis, Ridiculed.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present study investigates the impact of virtual teaching on the psychomotor development of IX standard students studying Social Studies (Geography) at Government High School, Chikkabidarakallu, in Bengaluru Urban District. A total of 60 students from Grade IX were selected and equally divided into two groups: an experimental group (N=30), which received instruction through virtual teaching methods and a control group (N=30), which was taught using traditional classroom methods. The virtual teaching intervention incorporated tools such as Zoom and Google Meet for live sessions, multimedia presentations with visual aids and maps, interactive platforms like Kahoot, Quizizz, Canva and Flipgrid, as well as hands-on tasks like map drawing, labeling activities, group discussions and role plays. The study adopted a Randomized Matching Control Group Pre-test Post-test Design. To assess psychomotor development, the researcher developed and standardized a tool consisting of five practical tasks and its reliability was confirmed using the test-retest method. Data analysis using paired sample t-tests and independent sample t-tests showed that students in the virtual teaching group demonstrated significantly greater improvement in psychomotor skills compared to those in the traditional group. The findings suggest that virtual teaching methods effectively enhance not only content learning but also psychomotor abilities in Social Studies education. The study concludes that integrating virtual platforms and interactive digital tools into classroom instruction can foster improved engagement, understanding and skill development. Hence, educators are encouraged to adopt virtual teaching approaches to strengthen psychomotor outcomes in secondary school education.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Impact, Virtual Teaching, Psychomotor Development, Social Studies, IX standard students.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Ventilator-associated pneumonia, structured teaching programme, staff nurses, infection prevention, nursing education.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Individuals of all ages are impacted by vitamin deficit, which is a widespread global health crisis. Many people do not discover the disease until it is too late. Most traditional laboratory ways of diagnosing vitamin deficiency rely on tortuously long and costly blood testing. Additionally, they are not always available in low-resource environments. A Hybrid Fusion Algorithm Vitamin Deficiency Detection System (VDDS) is proposed as a solution to the above-mentioned limitations. The system integrates characteristics from medical imaging analysis with clinical and demographic data to increase its accuracy and reliability. In the medical imaging analysis component, input images undergo preprocessing to improve the quality of the images and reduce noise. Convolutional neural network algorithms are then used to extract key features for a machine-learning application from each image.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Vitamin Deficiency Detection, Hybrid Fusion Algorithm, Convolutional Neural Network (CNN), Medical Image Processing, Clinical Data Analysis, Automated Healthcare Diagnosis

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A comprehensive floristic survey was conducted in the VKL region of Tamil Nadu, India, to document plant diversity and analyze taxonomic composition. A total of 200 angiosperm species belonging to 32 families were recorded following systematic field surveys and taxonomic identification using standard floras. The dominant family was Fabaceae, followed by Malvaceae, Euphorbiaceae, and Asteraceae. Dicots constituted the majority of species (?87.5%), while monocots accounted for ?12.5%. Several economically important, medicinal, and invasive species were identified, indicating both ecological richness and anthropogenic influence. The presence of invasive taxa such as Parthenium hysterophorus and Lantana camara highlights the need for biodiversity management strategies. The study provides baseline floristic data essential for conservation planning and ecological monitoring of the region.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Floristic diversity, Angiosperms, Taxonomic analysis, Invasive species, Tamil Nadu, Biodiversity assessment

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

alienation, modernity, otherness, literary criticism

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Dhemsa dance forms an energetic and permanent element of the culture of the tribal groups of southern Odisha and, more specifically, of the Koraput area. While extant scholarship often characterizes Dhemsa as a communal performance of tribal nature, it does not sufficiently explore the central role of women in preserving its ritualistic, social, and cultural relevance. This study examines the role of tribal women in Dhemsa dance in terms of the role of the dance as a medium of ritual practice, community bonding, and identity construction. Employing qualitative methods--including ethnographic observation, semi-structured interviews, and a secondary literature analysis--the paper examines the role of women as performers, as transmitters of tradition, and as custodians of cultural memory. The paper argues that Dhemsa is not simply a performative art form, but it is a lived cultural practice through which tribal women exercise their agency, reinforce social cohesion, and ensure intergenerational continuity of indigenous knowledge. Through a foregrounding of the participation of women, the paper is a contribution to wider discourse on the topics of gender, culture, and tribal identity in contemporary India.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Dhemsa Dance; Tribal Women; Ritual and Culture; Gender and Identity; Indigenous Traditions; Odisha

  License

Creative Commons Attribution 4.0 and The Open Definition