Multidisciplinary Journals for Research & Reviews | ijmrr.online

[1] PREDICTING EXTREME WEATHER IN THE CENTRAL HIMALAYAS USING ARTIFICIAL INTELLIGENCE AND AEROSOL DYNAMICS

Alok Sagar Gautam — 2025-05-10

This research aims to evaluate the Central Himalayan aerosol properties and negative impacts on extreme meteorological conditions, like cloudburst and flash floods. In using secondary data, the study analyses the application of machine learning models such as Random Forest, XGBoost and LSTM in findings and forecasting the likelihood of extreme weather by the use of aerosol and meteorological factors. An early warning system, which is vital for disaster preparedness and environmental policy, can be developed using an AI-based predictive model. The results point to the importance of aerosols in weather and reveal the effectiveness of employing AI techniques for better decision-making and climate adaptation. The study describes how AI can be incorporated into conventional meteorological initiatives and offers policy advocacy and capacity-strengthening strategies for meteorological departments in the Central Himalayan region.

[2] A STUDY ON EVALUATING SOCIO-ECONOMIC IMPACT OF CONTRACT POULTRY FARMING ON FARMER

Manoj Shrihari Barkale — 2025-05-10

In contract poultry farming, farmers contribute labour and infrastructure, while poultry firms (integrators) engage into agreements with farmers to produce birds using company-supplied inputs such as chicks, feed, and medication. This concept has a substantial socioeconomic impact as it provides farmers with guaranteed income, jobs, and technical assistance. Its long-term advantages and durability, however, may be constrained by issues including poor profit margins, a lack of autonomy, and uneven power relations. The research aimed to evaluate the socio-economic impact of contract poultry farming on farmers. Structural equation model was used to analyse the collected data. The findings of the study indicate that there is a significant impact of Involvement in Contract Poultry Farming on standard of living, economic security, and social wellbeing.

[3] OPTIMISATION OF FOOD DELIVERY SYSTEM USING ARTIFICIAL INTELLIGENCE IN MUMBAI REGION

Anita Chaudhary — 2025-05-11

The food delivery business in Mumbai is a vibrant and quickly expanding sector that serves the city's fast-paced and diverse population. The role of artificial intelligence in food delivery systems to optimize operations and improve customer experiences is becoming more and more demanded by customers who want faster, more individualized, and more efficient food delivery services. Predictive analytics for customer retention, dynamic menu customization, predictive delivery time estimation, AI chatbots for food ordering, and automated customer query resolution are some of the factors that are the subject of this paper. The difficulties and elements that affect food delivery system optimization and improve customer experiences are further examined in the paper. The creation of food delivery applications in Mumbai and future improvements to food delivery services would benefit from these findings.

[4] EXPLORATORY STUDY ON EVALUATING PROBLEMS FACED BY FARMERS IN CONTRACT POULTRY FARMING

Manoj Shrihari Barkale — 2025-05-10

Contract broiler farms are viewed as a way to provide rural farmers in India more financial and social influence. Because it provides rural farmers with a different source of income, less dependence on the monsoon, good working conditions, and all the essentials supplied straight to their doorstep by contract integrators, the contract poultry industry is a major success story. But every coin has two sides, hence, the purpose of this exploratory study is to evaluate the problems faced by farmers in contract poultry farming. The technique used in this study is Text mining using the qualitative tool NVIVO 12. The findings of the study indicated that the major challenges faced by Farmers in Contract Poultry Farming are Delay in supply of chicks, Low-quality feed provided, Frequent bird diseases, no timely veterinary support, and low income despite hard work. The moderate challenges faced by Farmers in Contract Poultry Farming include no insurance for poultry loss, Difficulty in getting loans or credit, no freedom to buy own inputs, High maintenance costs not covered and Poor waste disposal methods. The minor challenges faced by Farmers in Contract Poultry Farming Lack of cold storage for vaccines or medicines, the Burden of cleaning and disinfecting after each cycle, no legal help during disputes, and the Company ignoring farmer feedback.

[5] ARTIFICIAL INTELLIGENCE USED FOR DATA PROTECTION

Poonam Majigamkar — 2025-05-12

Artificial Intelligence (AI) plays an important role in enhancing data security by identifying threats and responding to them effectively. This paper explores how AI-directed security will help in data protection by identifying dangers, reducing cyber risks, and ensuring real-time threat management. AI-driven tools such as machine learning-based anomaly detection, deep learning models for malware identification, automated threat intelligence systems, and advanced encryption techniques empower individuals and organizations to safeguard sensitive data. Also, AI-powered security solutions like biometric authentication and AI-assisted cyber security frameworks enhance defence mechanisms against evolving threats. The method of qualitative approach that includes a systematic review of AI-based data protection techniques and to analyse the ethical challenges, privacy concerns, and adaptive capabilities of AI-based security solutions for mobile devices. The research involves a systematic review, expert interviews, and case studies to assess the effectiveness of AI in mitigating cyber threats. Findings indicate that AI significantly improves data protecting of mobile by detecting threats with high accuracy while raising ethical concerns regarding data privacy, false detection and adaptability. The paper emphasis on the development of an ethical, efficient, and adaptive AI-driven security framework for mobile devices.

[6] AI OVERDEPENDENCE IN EDUCATION: EXAMINING ITS HARMFUL EFFECTS ON STUDENT LEARNING AND CRITICAL THINKING

Ishika Suresh — 2025-05-13

The research explores AI over-dependency in education while examining its helpful effects on critical thinking. It aims to measure how often students rely on AI tools, for what purposes they use AI, and to what extent they rely on AI-generated content without verifying it. This study also analyzes the impact of AI over-dependency on students' ability to evaluate, analyze, and interpret information for decision-making. It further assesses cognitive engagement using critical thinking assessment skills across four key dimensions: interpretation, analysis, evaluation, and inference. The study examines whether students promote passive information consumption of AI- generated content or actively engage intellectually. It also aims to identify strategies for balancing AI assistance with traditional problem-solving methods to enhance critical thinking skills. The research is descriptive and exploratory in nature. The primary data collection method used, while the analysis relies on critical thinking assessment skills to measure students' cognitive engagement. Secondary data is collected from news articles, research papers, and journal publications. This study also seeks to determine how frequently students use AI for completing academic tasks, whether they directly accept AI-generated content or verify it with other sources. Additionally, it aims to understand whether AI negatively impacts students' problem-solving abilities. The study evaluates whether students accept AI-generated biased information or think critically rather than just accepting direct answers. It also examines whether students excessively rely on AI tools. Finally, this research provides strategies for balancing AI assistance with traditional problem- solving methods to ensure the development of critical thinking skills.

[7] EFFECT OF FLOW ARRANGEMENT ON HEAT EXCHANGER PERFORMANCE

Shailandra Kumar Prasad — 2025-05-24

Heat exchangers play a crucial role in many industries. It helps in transferring heat between fluids. The term flow arrangement refers to the way fluids flow inside the heat exchangers. The variety in the flow arrangement significantly affects the efficiency of the heat exchanger. The primary aim of this article is to efficiently explore how these flow arrangements affect the performance of the heat exchanger. This exploration has been done in this article by reviewing existing studies. The article has compared the thermal effectiveness of each configuration with the help of a secondary qualitative approach. It has highlighted several key factors like the distribution of temperature, drop of pressure, as well as the complexity of design. It has also discussed the tradeoffs that have been continually faced by engineers. The study has identified four main themes, including heat transfer efficiency, pressure dropIndustry applications, and design and maintenance. The insights gained from the analysis of the specified themes will significantly help engineers in choosing the most suitable flow arrangement while simultaneously maintaining a balance between efficiency and practicality in real‑world applications.

[8] UNVEILING THE EVOLUTION: EXPLORING THE TRANSFORMATIVE IMPACT OF AI ON THE REAL ESTATE INDUSTRY

Pratik Narendra Patil — 2025-05-24

Artificial intelligence (AI) is incredibly essential the real estate sector since it can improve client experiences, decision-making, and process optimisation. Real estate agents can effectively evaluate enormous volumes of data, forecast market trends, and customise client interactions with the help of AI-powered algorithms. In addition, AI makes predictive analytics and proactive property management possible, enabling stakeholders to effectively reduce risks and make well-informed investment decisions. The focus of conducting this research is to explore the transformative impact of Artificial Intelligence on the real estate industry. The technique used in this study is one sample t-test. The outcome of the study indicated that Improved Property valuation, Enhanced property search, Virtual tours, Predictive analytics, Fraud detection, Market trend analysis, Customized property, Seamless property paper process through AI, Improved property listing, Enhanced navigation of property and Enhanced customer service are the significant impact of AI on the real estate industry.

[9] IMPACT OF GEO-AESTHETICS AND GEOLOGICAL INFLUENCE ON VERNACULAR AND VICTORIAN ARCHITECTURE: A BIOPHILIC APPROACH FOR SUSTAINABILITY

Aadya Budhiraja — 2025-05-29

This paper takes a closer look at how traditional construction practices, the use of locally available natural materials, and design strategies inspired by nature can lead to buildings that are not only environmentally friendly but also more comfortable across different climates. The focus is on Indo-Saracenic architecture, which blends elements of British Victorian design with Indian aesthetics. What stands out is that Indian craftsmen and architects did not simply adopt British architectural models. Instead, they reinterpreted them, adjusting the designs to better suit local weather conditions and cultural preferences. They incorporated thoughtful features such as central courtyards, intricately carved stone screens known as jalis, and wide, shaded verandahs. These elements helped keep interiors cooler and more pleasant, especially in hot climates. In contrast, many contemporary buildings rely heavily on cement and steel, which are not always ideal in terms of heat regulation and often come with a larger environmental footprint. Traditional materials like stone, clay, and lime, on the other hand, have proven to be more sustainable and climate-responsive. They naturally insulate spaces and have a longer lifespan. The concept introduced here is Synthetic Vernacular Architecture. It is about creatively merging time-tested architectural traditions with modern building technologies. This hybrid approach can lower environmental impact while also preserving local identity. The paper recommends that urban planners and architects consider weaving these traditional ideas into today’s construction guidelines. By revisiting older methods, using region-specific materials, and designing with nature in mind, it is possible to create modern urban spaces that are not just energy-efficient, but also culturally and climatically in tune with their surroundings.