Volume 12 | Issue 12 |

 Abstract

India's agriculture faces challenges such as diverse climates, fragmented landholdings, and the need for sustainable practices. To address this, we propose an intelligent support system using data analytics to offer personalized crop recommendations, disease identification, and fertilizer suggestions. Built on a comprehensive dataset from surveys of farmers across India, it captures their unique experiences and challenges.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Crop recommendation, Machine learning,XGBoost,Plant disease identification,Fertilizer

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research discusses the application of Primavera software in financial integration and project management in the construction of residential buildings. The study puts more emphasis on how the sophisticated scheduling, resource allocation, and financial monitoring capabilities of Primavera may enhance project efficiency and cost control. The case study demonstrates how improved teamwork, real-time tracking of progress, and efficient budgeting procedures may reduce delays and cost overruns. This approach emphasizes the importance of including it integrates technology into construction management and gives guidelines for improving project results. Potential that Primavera holds to be a comprehensive solution in accurately and efficiently managing complex residence building projects is reflected upon.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Primavera, Project management, Resource allocation, financial integration.

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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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Uttar Pradesh Ki 14vi se 17vi Vidhansabha me vipaksh ke prabhav ka moolyankan : Rajnitik Gati aur Samarthan ki Disha

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Creative Commons Attribution 4.0 and The Open Definition

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The gut microbiota, a complex ecosystem of trillions of microorganisms residing in the gastrointestinal tract, plays an integral role in maintaining human health. Recent advancements in neuropsychobiology suggest that this microbial community profoundly influences mental health, particularly anxiety and depression, via the gut-brain axis. This paper investigates the intricate bidirectional communication between the gut microbiota and the central nervous system (CNS), mediated by neural, endocrine, immune, and metabolic pathways. Emphasis is placed on mechanisms such as microbial metabolite production, vagus nerve signaling, hypothalamic-pituitary-adrenal (HPA) axis regulation, and neuroinflammatory responses. The potential therapeutic applications of probiotics, psychobiotics, prebiotics, and dietary interventions are explored, along with emerging technologies in microbiome research. Challenges such as individual variability, ethical constraints, and the need for longitudinal studies are also discussed. This review aims to provide a comprehensive understanding of the gut microbiota's role in mental health, emphasizing the need for integrative therapeutic approaches to tackle anxiety and depression.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Gut-brain axis, gut microbiota, mental health, anxiety, depression, psychobiotics, probiotics, prebiotics, SCFAs, dietary interventions, gut-brain communication, neuroinflammation, HPA axis, neurotransmitters

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Internet of Things is one of the major revolutions of Internet in the recent years. Internet of Things; abbreviated as IoT; is a drastic move from a human centric network; to a network where more devices are connected to the Internet; than human beings. IoT is a new trend in connectivity which is outside the realm of laptops and smartphones. IoT is a recent communication paradigm in which the items of everyday life are embedded with micro-controllers, transceivers for digital communication, and with suitable protocol stacks that allow them to communicate with one another and also with the humans. These networks connected items or devices use unique addressing schemes and are smart enough to share information with human, with the cloud-based applications and with each other as device to device communication; hence automating our tasks by lessening efforts to almost zero and providing us with exciting possibilities for better lives. It is estimated that in near future, the number of things are going to be many; and number of internet of things that are going to be connected; are also going to be many. This explosion in the number of these connected smart devices and things to the Internet will lead to a fundamental problem of address crunch where the number of addresses that could be assigned to each of these devices would run out. So, the current Internet Protocol; Internet Protocol version 4; IPv4; is definitely not a good solution. This situation leads to the invention and migration to a new Internet Protocol named Internet Protocol version 6; IPv6; which will provide almost unlimited number of IP addresses and would be a must requirement for the success of Internet of Things. This paper discusses an immaculate solution and driving force behind IoT; namely; IPv6. Paper also focuses on how IOT is providing us exciting possibilities for better lives.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Internet of Things, X10, Z-Wave, ZigBee, UPB, Instabus, EnOcean, Tizen, Industrie 4.0, Smart Homes, Smart Wearables, Smart Cars, Smart Cities, Smart Industries, Internet Protocol version 4, Internet Protocol version 6, Radio Frequency IDentification System, Wireless Sensor Network, Virtual Private Network, Address Resolution Protocol.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Accurate solar power generation forecasting is crucial for optimizing the integration of renewable energy into power grids, reducing dependence on fossil fuels, and enhancing energy sustainability. This research explores advanced machine learning (ML) and deep learning (DL) models, focusing on long short-term memory (LSTM), k-nearest neighbor (KNN), and extreme gradient boosting (XGBoost) algorithms, to predict solar energy output accurately. Leveraging a dataset comprising historical solar irradiance, temperature, and power generation data, the study develops a robust pipeline incorporating data preprocessing, feature extraction, and model optimization. Key innovations include implementing synthetic data generation for augmenting training datasets and optimizing hyperparameters for superior performance. Evaluation of models is conducted using root mean square error (RMSE) and mean absolute deviation (MAD) metrics, demonstrating the efficacy of ML and DL-based approaches in capturing dynamic environmental dependencies. The findings underscore the potential of these methodologies for real-time solar energy forecasting and integration into energy management systems

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Solar Power, Forecasting, Artificial Intelligence, Machine Learning, Deep Learning, k-Nearest Neighbor, Extreme Gradient Boosting, Long Short-Term Memory

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The emergence of cloud-based ticketing and payment systems has brought about a significant transformation in event management and travel booking industries. This innovative online platform enables seamless ticket purchases for a diverse range of events, activities, and travel arrangements, coupled with secure and efficient payment processing through robust gateways. Hosted on cloud servers, the system ensures ubiquitous accessibility across devices with internet connectivity, enhancing user convenience by allowing access anytime, anywhere. Key features of the system include comprehensive ticket selection, transport mode preferences, scheduling flexibility, and diverse payment options, catering to the varied needs of users. Event organizers benefit from real-time analytics, empowering data-driven decisions for optimizing event planning and management. Moreover, the scalable architecture of cloud-based infrastructure facilitates seamless handling of high transaction volumes, accommodating a broad user base with ease. The system also extends its utility to transport services, offering streamlined ticketing solutions for diverse travel requirements. This includes providing transport options, scheduling, and payment processing, simplifying the booking process for users and operators alike. Stringent security measures such as AES and RSA encryption, along with two-factor authentication methods, fortify the protection of sensitive customer data, ensuring trust and reliability in transactions. In essence, the integration of cloud-based ticketing and payment systems heralds a new era in the industry, affording customers a frictionless ticketing experience while equipping event organizers and travel operators with potent tools for efficient management and service delivery. This transformative shift not only enhances user experiences but also drives innovation and efficiency across the event and travel sectors.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cloud, Ticketing, Payment, Scalability, Analytics, Encryption, Security, Convenience, Booking

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Dimapur is located in the southwest corner of Nagaland, with the Dhansiri River, a tributary of the Brahmaputra River, flowing east of the city. The majority of the area is flat, making it prone to various natural disasters. Summers in Dimapur are characterized by hot and humid weather, while winters tend to be relatively cold. According to a report from the Nagaland Fire and Emergency Services, there were 878 fire incidents reported between 2013 and 2020, resulting in the loss of 13 lives. Unfortunately, there have been several fire accidents in Dimapur in 2021-2024, leading to devastating consequences such as the destruction of homes, loss of valuable property and cash, injuries, and the misplacement of important documents. Fire disasters are among the most common emergencies faced in Nagaland, alongside earthquakes, floods, and landslides. The Nagaland Fire and Emergency Services are working diligently to safeguard lives and property from such disasters, even as urbanization continues to expand in towns like Kohima and Dimapur. In response to the increasing frequency of fire incidents, the Department has submitted a proposal to the government, urging the inclusion of fire disaster prevention measures in the Kohima Smart City Plan. While the department and firefighters are prepared to respond to fire emergencies, it is crucial to assess the readiness of the public, families, and children in handling such crises. Therefore, the objective of this paper is to examine the level of preparedness among families with children in the event of a fire disaster. It is essential to ensure that all members of the community are equipped with the necessary knowledge and resources to effectively respond to and mitigate the impact of fire emergencies.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

fire accidents; disaster; preparedness

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research paper explores the contributions of Northeastern female writers, such as Temsula Ao, Easterine Kire, Mamang Dai, and others, in challenging the marginalization of the Northeast in mainstream Indian literature. Through an intersectional lens, the study examines how these authors engage with themes of gender, culture, and power, reflecting the socio-political realities of their region. The research delves into their use of oral traditions, blending contemporary literary forms with indigenous storytelling to preserve cultural heritage. Additionally, it investigates how these writers navigate the complex tensions between tradition and modernity, particularly in their portrayals of gender roles and evolving societal dynamics. By focusing on themes such as insurgency, displacement, environmental consciousness, and matrilineal structures, the study highlights the resilience, survival, and resistance of women in the face of socio-political conflict. Ultimately, this research emphasizes how Northeastern female writers offer alternative narratives, challenging stereotypical portrayals and offering a deeper understanding of their region's cultural identity and political struggles.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

NortheasternFemalewriters,gender,insurgency,displacement,environmental consciousness

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Mental health is a critical aspect of overall well-being, yet barriers such as stigma, limited access, and high costs often prevent individuals from seeking timely support. MindMend: A Mental Health Support System aims to bridge this gap by providing a comprehensive platform offering virtual therapy sessions, AI-driven emotional support, and mood tracking. Leveraging cutting-edge technology, the system facilitates personalized mental health care through user-friendly interfaces and intelligent algorithms. The virtual therapy sessions create a safe and anonymous space for users to explore their emotions and gain insights. The AI component analyzes user inputs, recognizes emotional cues, and provides tailored resources and empathetic responses, ensuring immediate support. The mood tracking feature also enables users to monitor their emotional patterns over time, empowering them to make informed decisions about their mental health journey. This paper reviews the functionalities, technical architecture, and societal impact of MindMend, highlighting its potential to address the growing mental health crisis. By integrating technology and empathy, MindMend aspires to create a world where mental health support is accessible to everyone, anytime, anywhere.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mental health, Virtual therapy, AI-driven emotional support, Mood tracking, Personalized mental health care, Emotional well-being, Mental health technology, User engagement, Natural language processing.

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Creative Commons Attribution 4.0 and The Open Definition