Category Archives: Uncategorized

House Price Prediction Using Machine Learning

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Authors: Mrs. R. BHUVANESHWARI, Ms. T. MISHA

 

 

Abstract: Predicting house prices is both vital and complex due to the ever-changing nature of the real estate market. Conventional statistical approaches often fall short in identifying intricate data trends, making machine learning a more suitable solution. This project adopts the Support Vector Machine (SVM) algorithm to forecast housing prices by analyzing historical data and key market influences. Known for its ability to manage high-dimensional datasets and model nonlinear relationships, SVM proves to be a dependable method for accurate price prediction. The system evaluates multiple factors including geographic location, property dimensions, prevailing market trends, and economic conditions to improve prediction precision. Through SVM’s capabilities in both classification and regression, the model delivers strong, data-informed insights that assist homebuyers, sellers, and investors in navigating the dynamic real estate environment effectively

DOI: http://doi.org/

 

 

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Performance Evaluation Of Energy Efficiency Of A Residential Building Using Cooling Load Temperature Difference (CLTD)

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Authors: Akerele Olalekan Victor, Omojogberun Veronica Y, Abegunde-Abikoye O.S

 

 

Abstract: Many buildings available today are built without considering whether they are energy efficient or not. This gives rise to either over-estimation or under-estimation of energy (electricity) to be used by the building. Hence, a way of estimating the total energy consumption of a building is to properly account for the variables that demand energy usage from a building and then calculate the resultant energy used using a suitable computer application. The energy performance of two two-bedroom bungalows was estimated using a developed computer application. The computer application allowed input of various building parameters such as geometry (height, breadth, and width), roof type, building orientation, window shading, cooling load, and other electrical appliances. The estimation was done during the peak hour of the day (Cooling Load Temperature Difference between 11 am and 3 pm) for one hour with the building facing due west to efficiently ascertain how energy efficient the building would perform under peak load. The results from computed data show that the building required more energy to keep it cool due to excessive sunlight incident on the building. Also, the roofing material and window shading contributed to the poor energy performance of the building. With an estimated value of 16kW, it can be concluded that the energy performance of the building was below average as a result of the poor selection of building materials and building orientation.

 

 

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Automatic Power Theft Detection And iot-Based Load Control

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Authors: Kuraganti Syam Kumar, Palineti Karthik, Thodindala Siva Teja, Shaik Anwar Mohiddeen, Syed Mohammad Waseem

 

Abstract: Electricity theft remains a major challenge for power distribution systems, leading to significant financial losses and reduced supply reliability. This paper presents a smart and automated solution for detecting unauthorized electricity usage and enabling remote load control through the Internet of Things (IoT). The proposed system continuously monitors electrical parameters such as current and voltage using embedded sensors. Anomalies indicative of theft such as elevated current without corresponding voltage change trigger an automatic disconnection of the power supply via a relay module. Simultaneously, a GSM module transmits an alert message containing GPS coordinates to the concerned authorities, enabling quick response and location-based intervention. The system also supports cloud integration for real-time monitoring, data logging, and consumption analysis. Leveraging the ESP32 microcontroller, this approach offers a cost- effective, scalable, and energy-efficient framework applicable to residential, commercial, and industrial environments. The integration of automated theft detection, instant notification, and IoT-based control enhances grid transparency, reduces human intervention, and ensures equitable power distribution.

DOI: http://doi.org/10.61137/ijsret.vol.11.issue3.117

 

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Development and Enhancement of a Scalable React Platform with Front- end Development, AI/ML Integration and API-Driven Architecture

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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

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Book Store

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Authors: Assistant Professor C.K.Sukanya, V.Priyadharshini

 

 

Abstract: As the world becomes increasingly digital, the concept of the traditional bookstore is evolving rapidly. This paper explores how emerging technologies can transform the bookstore experience in the near future. From augmented reality (AR) and artificial intelligence (AI) to smart shelves and personalized recommendation systems, technology is set to redefine how readers discover, interact with, and purchase books. Future bookstores may become hybrid spaces—part library, part community hub, part digital experience center—offering immersive storytelling through AR, voice-guided book previews, and AI-powered reading assistants. This presentation highlights key innovations and envisions a future where bookstores blend physical charm with digital convenience, enhancing accessibility, engagement, and reader satisfaction.

 

 

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Nanotechnology in Agriculture and Food Safety

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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

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Introduction to Nanotechnology in the Business World

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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

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Fundamentals of Nanomaterials and Their Industrial Relevance

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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

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AI And The Future Of Digital Forensics

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Authors: Abdul Kalam A, Mrs.J.Gokulapriya

 

 

Abstract: Digital forensics has become a cornerstone of modern crime investigation, particularly in a world where cyber threats, digital fraud, and electronic evidence are increasing rapidly. Artificial Intelligence (AI) is reshaping this field by automating evidence collection, accelerating analysis, and uncovering hidden patterns across massive datasets. This paper explores how AI enhances digital forensic processes such as image analysis, malware detection, data reconstruction, and behavioral profiling. It also highlights the risks, such as algorithmic bias and evidentiary admissibility, and the need for explainable AI in forensic contexts. As technology evolves, AI will not just assist but transform digital forensic science into a faster, smarter, and more reliable discipline.

 

 

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THE FLOWER SHOP; ELEGANT EFFORESCENCE

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Authors: Vaishnavi K,, Dr.Uthiramoorthy

 

Abstract: The Flower Shop: Elegant Efflorescence is a modern, user-centric mobile and web-based application designed to enhance the floral shopping experience. This platform bridges the gap between florists and customers by offering a seamless interface for browsing, customizing, and purchasing floral arrangements. With features such as real-time inventory tracking, personalized recommendations, occasion-based filtering, and efficient delivery tracking, the application emphasizes elegance, convenience, and customer satisfaction. It also supports local flower vendors by providing them with a digital storefront, analytics, and order management tools. The project combines aesthetics with functionality, aiming to transform the traditional flower buying process into a sophisticated digital experience.

 

 

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