Volume 13 | Issue 4 |

 Abstract

The Kota tribe, an indigenous community in the Nilgiri Hills of Tamil Nadu, has preserved its unique cultural and religious practices for centuries. Despite their relatively small population, the Kotas possess a rich and complex system of rituals that reflect their deep connection with nature, ancestors, and the spiritual realm. This paper explores the untold stories of Kota rituals, shedding light on their birth and death ceremonies, their secretive temple worship, and their lesser-known musical and dance traditions. The study also examines the challenges faced by the Kota community in preserving their heritage amid rapid modernization.

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 Keywords

Kota tribe, Nilgiri Hills, indigenous rituals, ancestral worship, tribal traditions

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rapid proliferation of food delivery platforms such as Zomato and Swiggy has reshaped consumer dining behaviors and presented both opportunities and challenges for traditional restaurants. This research investigates consumer motivations, perceptions, and the broader implications of online food delivery services on traditional dining practices and restaurant operations. Through a structured survey of 200 consumers and 30 restaurant stakeholders, the study identifies key drivers for food delivery usage, including convenience, time-saving, lack of cooking skills, and promotional incentives, while also evaluating satisfaction levels and perceived impacts on value, quality, and social experiences. Hypothesis testing and statistical models reveal that while factors like convenience and discounts are commonly cited, lack of cooking skills emerges as the only significant predictor of reduced traditional dining. From the restaurant perspective, findings highlight mixed impacts on foot traffic, with varying levels of revenue dependency on food delivery platforms. Notably, restaurants face critical challenges such as increased competition from cloud kitchens, high commission rates, and declining profit margins. The study concludes that while food delivery services offer considerable consumer benefits, they also impose structural pressures on traditional dining models.

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 Keywords

Food Delivery Platforms, Zomato, Swiggy, Consumer Behavior, Dining Preferences, Traditional Restaurants, Online Food Ordering, Convenience, Customer Satisfaction, Restaurant Strategy, Cloud Kitchens, Digital Disruption, Food Tech Industry, Service Quality, Consumer Motivation.

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Water scarcity involves water stress, water shortage or deficits, and water crisis. While the concept of water stress is relatively new, it is the difficulty of obtaining sources of fresh water for use during a period of time and may result in further depletion and deterioration of available water resources. Water shortages may be caused by climate change, such as altered weather patterns including droughts or floods, increased pollution, and increased human demand and overuse of water. A water crisis is a situation where the available potable, unpolluted water within a region is less than that region's demand. Water scarcity is being driven by two converging phenomena: growing freshwater use and depletion of usable freshwater resources.

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 Keywords

Water scarcity

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This review paper studies the various traditional practices of the North East region. The methods of farming system of the region seem to be homogenous with slight variations. Agriculture is not only an economic activity; it is the central them of the cultural identity but sadly there is a rapid decline in the traditional practices which may have a far-reaching adverse impact socio-economic system of the communities of North East. Jhum cultivation is found to be the most common method of cultivation along with terrace rice fields along the hill slopes. Besides rice, many other food crops are grown traditionally to meet the needs and not commercialize but with various socio-economic changes, the traditional practices and food crops are on the decline. There is diversification of crops through modernization with the intention to commercialize.

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 Keywords

Jhum, wet terrace fields, sustainability, traditional knowledge system, homegarden

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Creative Commons Attribution 4.0 and The Open Definition

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In today's digital age, where technology influences every aspect of life, BookNest stands out as a unique platform that redefines the reading experience. By combining personalized book recommendations with community engagement, BookNest offers a space where readers can discover, share, and discuss literature. It creates an interactive environment that transforms the way people experience books by blending solitary reading with social interaction. Key features of BookNest include book exchanges, live discussions, and group reading sessions. These tools enable readers to connect with others who share similar interests, facilitating meaningful conversations around books and their themes. The platform goes beyond traditional reading by turning it into an engaging, social experience that encourages collaboration and community building. Readers can exchange books, discover new authors, and deepen their understanding of the literature through group interactions. In addition to promoting social engagement, BookNest advocates for sustainable reading practices. Through initiatives like book swapping and sharing, the platform encourages readers to make environmentally conscious choices while enjoying literature. These practices contribute to reducing waste and extending the lifespan of books, fostering a more sustainable approach to reading. This study explores how BookNest fosters literary interaction while promoting sustainable reading habits. It highlights the ways in which digital platforms can enhance our connection with books and other readers, offering valuable insights into the potential of technology to transform the reading experience. Ultimately, BookNest illustrates how blending technology with literature can create a richer, more connected way to engage with books in the modern world.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

BookNest, Digital Reading Platform, Community Engagement, Book Exchange, Sustainability, Personalized Recommendations, Social Interaction, Literary Community, AI-powered Features, Reading Experience

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This study investigated the scientific attitude of 5T secondary school students in Boudh district, Odisha due to gender (boys and girls) and locality (rural and urban). The research was followed by descriptive survey research method. A sample of 80 students (40 boys and 40 girls) from Boudh district were randomly drawn from eight sampled 5T secondary schools. These 8 sampled 5T secondary schools were randomly drawn from the three blocks (Boudh, Kantamal and Harabhanga) of Boudh district. The data were collected by using a self-prepared Scientific Attitude Scale contained five points by the investigators. For the analysis and interpretation of data, the researchers had used Mean, Standard Deviation and t-test. It was revealed from the study that there is no significant difference due to locality and there is significant difference due to gender.

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 Keywords

Science, Scientific Attitude, 5T, Secondary school students, gender, and Locality.

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Prime number distribution has been a subject of extensive mathematical exploration, with profound implications in number theory, cryptography, and computational mathematics. Traditional analytical approaches often rely on deterministic algorithms and conjectures, such as the Prime Number Theorem and Riemann Hypothesis. However, recent advancements in machine learning (ML) offer novel perspectives for predicting prime number distributions using data-driven methodologies. This study explores advanced ML-driven regression models to analyze and predict the occurrence of prime numbers within numerical sequences. Various regression techniques are employed to approximate underlying patterns in prime distributions. Comparative evaluations based on accuracy, generalization ability, and computational efficiency highlight the most effective models for prime number prediction. The findings contribute to the growing intersection of machine learning and mathematical research, demonstrating the potential of ML-based regression models in number theory and complex sequence analysis.

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 Keywords

Prime Numbers, Machine Learning, Regression Models, Prime Number Distribution, Predictive Analytics, Number Theory, Data-Driven Approach, Computational Mathematics, Artificial Intelligence.

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Creative Commons Attribution 4.0 and The Open Definition

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This paper looks at how mental health is shown in literature through a comparison of Jane Eyre, Winnie the Pooh, and A Beautiful Mind. Each of these works, created in different time periods, gives a unique perspective on mental health. Jane Eyre explores themes of isolation, emotional struggle, and repression in the Victorian era, showing how mental illness was viewed and treated at that time. The story's portrayal of the main character's emotional battles reflects the era's limited understanding of mental health. In contrast, *Winnie the Pooh* presents mental health issues in a more child-friendly way, using its lovable characters to gently explore topics like anxiety, depression, and the need for support from friends. The story's focus on friendship and understanding provides a more compassionate view of mental health. By looking at these works together, the paper examines how attitudes toward mental health have changed over time. It shows how literature reflects society's evolving views on mental health, helping to understand both the past and present cultural perspectives.

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 Keywords

English literature, mental health, psychology, society, social evolution, modernization

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Creative Commons Attribution 4.0 and The Open Definition

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The increasing demand for health and fitness applications has driven the development of AI- powered systems for food recognition and calorie management. This project utilizes Convolutional Neural Networks (CNN) and Artificial Intelligence (AI) to create a robust food image detection and calorie calculation platform. The system allows users to upload images of food, which are processed using a CNN model trained to recognize a wide variety of food items. Once the food is identified, users can input additional details such as portion size, ingredients, drinks, or preparation method to enhance the accuracy of the calorie estimation. The core functionality of the system revolves around accurate food recognition through CNNs, which are well-suited for image classification tasks. The network is trained on a large dataset of labeled food images to classify the food items and estimate their nutritional content. Based on the identified food, the system calculates the total calorie count using a deep learning model integrated with a nutritional database. In addition to calorie calculation, the system provides personalized exercise recommendations based on the user's calorie intake. By leveraging AI algorithms, the platform suggests various types of exercises (e.g., running, cycling, yoga) and the duration needed to burn the calories consumed, ensuring that users can make informed decisions about their physical activity to maintain a healthy lifestyle. The system can access this information via a Google Gemini API or the pre-trained LLAMA model from Hugging Face for more complex, real-time conversational interactions. This platform not only provides accurate food detection and calorie tracking but also empowers users to make healthier choices by offering actionable insights for maintaining balance between calorie intake and expenditure. The integration of AI technologies ensures a seamless, interactive, and personalized experience for the end-users.

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 Keywords

Mask R-CNN, ROI (Region of Interest), IOU (Intersection Over Union), and Resnet 50

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Creative Commons Attribution 4.0 and The Open Definition

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The paper focus on student's engagement. Employee engagement is the level of enthusiasm, responsibility, and energy they bring to their jobs. To understand how students can be motivated to learning is the main agenda of the study. When they are young, students face a lot of distractions, making it difficult for them to comprehend why they should study. The primary and secondary data is used in preparing the paper. Google forms are used to collect data. 55 convenient samples are used in the paper. MBA student from Mysore are taken. to understand what drives students to learn. Percentage analysis is used to analyze the data. Good friends, Daily learning , extra curricular activities, Positive environment, effective teaching, PPT and interactive method are factors that encourage students to keep engaged learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Good friends, Student engagement, Extra curricular activities, Positive environment and effective teaching.

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Creative Commons Attribution 4.0 and The Open Definition