Logicnest
Authors:-Vishnu R, Dakshith S,Dhishanth G Patel, Abhilash T P

Abstract-:The widespread adoption of Large Language Models (LLMs) has raised critical concerns about data privacy in cloud-based AI systems, where sensitive data may be exposed. Logic Nest introduces a privacy-first application that runs curated LLMs locally, storing all data—chat history, documents, and configurations—on the user’s device. With versions for individuals (V1) and enterprises (E1), Logic Nest ensures secure, intuitive AI interactions for personal knowledge management and enterprise efficiency. This paper presents the design, implementation, and evaluation of Logic Nest, demonstrating its effectiveness in enhancing privacy, user efficiency, and enterprise onboarding. Results show superior installation times, compliance with regulatory standards, and significant efficiency gains, positioning LogicNest as a pioneering solution in privacy-preserving AI.

DOI: 10.61137/ijsret.vol.11.issue3.115

Published by: Kajal Tripathi

Heart Disease Detection Using Neural Network

Authors: Astitwa Srivastava, Dr. Devesh Katiyar

Abstract: Heart-related illnesses continue to be a significant public health concern and a leading cause of premature death worldwide. Prompt and accurate diagnosis plays a vital role in minimizing risk and improving treatment outcomes. This study explores the use of machine learning models, with a focus on a custom-built neural network, to predict heart disease. Using a structured dataset with over 2,500 patient records and 13 clinical features, we trained several classification algorithms, including Logistic Regression, Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Decision Tree, and Random Forest. Among these, the proposed neural network achieved the highest accuracy of 92%. The model is deployed using Flask to support real-time prediction, highlighting the real-world utility of such AI-based tools in clinical decision-making systems.

DOI: 10.61137/ijsret.vol.11.issue3.114

Published by: Kajal Tripathi

Landslide Prediction Using Machine Learning and GisBased Approaches – A Comprehensive Review
Authors:-Krishna Birla ,Siddarth Patil ,Prof. Vaibhav Srivastava

Abstract-:Landslides are a serious natural hazard that cause major social, economic, and environmental damage around the world. To reduce their impact, it’s crucial to accurately predict where they might happen. In recent years, combining Geographic Information Systems (GIS) with Machine Learning (ML) has greatly improved landslide prediction and mapping. GIS helps organize and visualize complex spatial data, while ML can find hidden patterns between the factors that lead to landslides. This review looks at different ML models used for landslide prediction, including Logistic Regression, Support Vector Machines, Random Forest, as well as ensemble methods like Bagging, Boosting, and Stacking. It also explores newer Deep Learning approaches. We discuss common challenges such as limited data, difficulty in understanding models, and how to handle changing conditions. Finally, we highlight future directions like Explainable AI (XAI) and real-time monitoring. By bringing together findings from recent studies, this review pr vides insights into what’s working, what’s not, and how ML and GIS can help improve landslide risk management.

DOI: 10.61137/ijsret.vol.11.issue3.113

Published by: Kajal Tripathi

Fundamentals of Nanomaterials and Their Industrial Relevance
Authors:-Devendrappa Patil

Abstract:- Nanomaterials, defined as materials with structural components smaller than 100 nanometers, possess unique mechanical, electrical, thermal, and optical properties that significantly differ from their bulk counterparts. These properties arise from high surface area-to-volume ratios and quantum-scale effects, which enable novel functionalities not achievable in traditional materials. The fundamental understanding of nanomaterials includes their classification—such as nanoparticles, nanowires, nanotubes, and nanosheets—and their synthesis through methods like top-down lithography and bottom-up chemical assembly. Characterization techniques including electron microscopy, spectroscopy, and atomic force microscopy are essential for determining nanoscale morphology, composition, and performance. As nanotechnology continues to evolve, the industrial relevance of nanomaterials is expanding rapidly. Sectors such as electronics, energy, healthcare, automotive, and construction increasingly rely on nanomaterials to deliver lighter, stronger, more durable, and energy-efficient products. From carbon nanotubes in structural composites to quantum dots in display technologies and silver nanoparticles in antimicrobial coatings, the applications are vast and transformative. However, challenges remain in terms of scalability, safety, environmental impact, and regulatory compliance, which must be addressed to fully integrate nanomaterials into mainstream industrial ecosystems. This paper provides a comprehensive overview of the fundamental aspects of nanomaterials and evaluates their growing importance in industrial innovation and sustainable development.

DOI: 10.61137/ijsret.vol.5.issue6.588

Published by: Kajal Tripathi

Future of Loan Approvals Using Explainable AI
Authors:-Kekkarla Madhu, V. Shirisha, Atla Sonya , L. Rahul Chandra

Abstract-:The advent of Artificial Intelligence (AI) and Ma- chine Learning (ML) is revolutionizing various industries by enhancing operational efficiency and facilitating innovation. In manufacturing, these technologies not only streamline processes but also contribute significantly to sustainability objectives. This paper explores how AI and ML are reshaping industrial practices, particularly focusing on sustainable manufacturing. It identifies current trends, the operational advantages, and future research areas for these technologies in the manufacturing domain.

DOI: 10.61137/ijsret.vol.11.issue3.112

Published by: Kajal Tripathi

Development and Enhancement of a Scalable React Platform with Front- end Development, AI/ML Integration and API-Driven Architecture
Authors:-Mansi Hatwar, Associate Professor Dr. Pavithra G

Abstract-:This paper presents the architectural evolution, development methodology, and QA practices involved in building and enhancing a scalable React-based web platform. The platform underwent a systematic migration from legacy frameworks to React, incorporating modern development practices and component-driven architecture. Furthermore, the platform was augmented with AI/ML capabilities for predictive analytics and integrated with RESTful APIs for seamless interoperability. Emphasis is placed on quality assurance (QA) strategies, automation in testing, design systems using Material UI, and real-world challenges encountered during migration and integration. The development process included collaborative UI/UX prototyping in Figma, effective use of Git and GitHub for version control, and performance- focused HTML/CSS design. The approach reflects modern trends in web-based intelligent applications and offers insights into the operational benefits of a decoupled architecture.

DOI: 10.61137/ijsret.vol.11.issue3.111

Published by: Kajal Tripathi

Nanotechnology in Agriculture and Food Safety
Authors:-Dr. Anwar Qureshi

Abstract:- Nanotechnology is rapidly emerging as a powerful tool to address critical challenges in agriculture and food safety. By leveraging engineered nanomaterials with unique properties, it enables enhanced crop production, precision nutrient delivery, targeted pest control, and real-time monitoring of soil and food quality. Nano-enabled livestock health solutions and advanced food processing techniques improve productivity and extend shelf life. Additionally, nanosensors and smart packaging technologies offer sensitive, rapid detection of contaminants, enhancing food safety throughout the supply chain. Despite these benefits, concerns over nanoparticle toxicity, environmental persistence, and regulatory gaps remain. This paper provides a comprehensive review of nanotechnology applications in agriculture and food safety, discusses safety and policy considerations, and highlights emerging trends such as green nanotechnology and digital integration. Responsible innovation, supported by harmonized regulations and stakeholder engagement, is imperative to maximize the positive impact of nanotechnology on sustainable food systems.

DOI: 10.61137/ijsret.vol.5.issue6.581

Published by: Kajal Tripathi

Introduction to Nanotechnology in the Business World
Authors:-Dr. Aarti Sharma

Abstract:- Nanotechnology, defined by its ability to manipulate matter at the nanoscale, has emerged as a transformative force in the global business landscape. This review introduces the foundational principles of nanotechnology and explores its profound implications across diverse industries including healthcare, electronics, energy, and consumer goods. It discusses the commercialization trajectory of nanotech innovations, examining how scientific breakthroughs transition into market-ready solutions. The review highlights the evolving business models shaped by nanoscale technologies, from startups leveraging cutting-edge materials to multinational corporations incorporating nanotechnology into sustainability and digital transformation strategies. Key enablers such as research and development ecosystems, intellectual property management, regulatory frameworks, and public-private collaborations are analyzed to understand how businesses can unlock strategic opportunities. Additionally, the review addresses challenges such as scalability, ethical concerns, and public acceptance, offering a realistic view of the path ahead. By laying the conceptual and practical groundwork, this chapter sets the stage for a comprehensive exploration of nanotechnology’s role in shaping the future of innovation-driven commerce.

DOI: 10.61137/ijsret.vol.5.issue6.580

Published by: Kajal Tripathi

Fundamentals of Nanomaterials and Their Industrial Relevance
Authors:-Professor Deshmukh Upadhya

Abstract:- Prof. Deshmukh Upadhya Nanomaterials represent a critical frontier in modern materials science, offering unique structural, chemical, and physical properties that differ significantly from their bulk counterparts. These materials—ranging from nanoparticles and nanowires to nanotubes and quantum dots—exhibit enhanced reactivity, strength, conductivity, and surface-to-volume ratios that make them exceptionally valuable for industrial innovation. This paper explores the core concepts surrounding nanomaterials, including their classification, synthesis methods, characterization techniques, and functional properties. Emphasis is placed on their wide-ranging applications across key sectors such as electronics, healthcare, energy, aerospace, and environmental engineering. The economic and commercial implications of nanomaterials are also discussed, highlighting their growing market potential, challenges in scalability, safety considerations, and the need for regulatory alignment. Additionally, this paper addresses future prospects by examining emerging trends such as green nanotechnology, hybrid materials, and the integration of artificial intelligence in nanomaterial design. Together, these insights provide a comprehensive foundation for understanding how nanomaterials are reshaping industrial landscapes and opening new avenues for sustainable, high-performance technologies.

DOI: 10.61137/ijsret.vol.5.issue6.579

Published by: Kajal Tripathi

Nanotechnology in Health Care and Medicine
Authors:-Dr. Vikram S. Jain

Abstract:- Nanotechnology has emerged as a transformative force in modern health care and medicine, offering innovative solutions that enhance disease diagnosis, treatment, and prevention. Operating at the nanoscale, where materials display unique physicochemical properties, nanotechnology enables the precise manipulation of biological systems. This paper explores the fundamental principles of nanomedicine and examines its wide-ranging applications, including targeted drug delivery, advanced diagnostic tools, regenerative therapies, and tissue engineering. It also addresses the integration of nanotechnology with cutting-edge technologies such as artificial intelligence and theranostics, which are driving the evolution of personalized and precision medicine. The paper highlights key diagnostic innovations such as quantum dot imaging, nanosensors, and lab-on-a-chip devices that enable early and accurate disease detection. In therapeutics, it reviews how nanocarriers enhance drug bioavailability and reduce systemic toxicity, while also supporting gene therapy and minimally invasive interventions like photothermal therapy. In regenerative medicine, nanomaterials serve as bioactive scaffolds for tissue repair and support stem cell therapies. However, the rapid progress in nanomedicine raises concerns regarding biocompatibility, long-term safety, regulatory oversight, and ethical implications. Emerging trends suggest a future where nanomedicine plays a central role in real-time health monitoring and intelligent treatment delivery. Despite its promise, the field faces challenges related to scalability, standardization, cost, and clinical translation. A multidisciplinary approach, incorporating materials science, toxicology, clinical research, and policy reform, is essential to maximize its benefits while minimizing risks.

DOI: 10.61137/ijsret.vol.5.issue6.578

Published by: Kajal Tripathi