Nano-Enabled Consumer Products: Cosmetics, Textiles, and Packaging
Authors:- Dr. Ramesh Kumar

Abstract:- Nanotechnology has revolutionized consumer products by introducing engineered nanomaterials (ENMs) that enhance performance, durability, and user experience. This paper explores the integration of nanotechnology in cosmetics, textiles, and packaging—three key sectors where nano-enabled innovations are driving significant transformations. In cosmetics, nanocarriers and UV-blocking agents improve efficacy and aesthetics. In textiles, nanoparticles impart antimicrobial, UV-resistant, and self-cleaning properties. In packaging, nanomaterials enhance barrier functions, enable active and smart features, and promote sustainability. The study also addresses the associated safety and environmental concerns, including nanoparticle toxicity, ecological persistence, and regulatory challenges. It highlights the global regulatory landscape and underscores the importance of risk assessments and consumer transparency. Emerging trends such as biodegradable nanomaterials, intelligent fabrics, and IoT-integrated packaging are poised to shape the future of nano-enabled goods. Despite technical and ethical challenges, the convergence of nanotechnology and consumer product design offers vast potential. The paper concludes by emphasizing the need for responsible innovation, robust regulation, and public engagement to ensure that nanotechnology continues to benefit both consumers and the environment.

DOI: 10.61137/ijsret.vol.5.issue6.577

Published by: Kajal Tripathi

Development of a smart Wearable System for Monitoring Student Attendance and Activity Participation through ID Scanning
Authors:-Amuncio, Jun Rey, Crisostomo, Kenneth, Gatinao, Hannah Michaela G, Palomo, Gerber Jay L, Paculanan, Kristian Jay C, Cedie E. Gabriel , Reginald S. Prudente

Abstract-:The study presents the development and evaluation of a smart wearable system to monitor student appearance and activity participation through ID scanning at South East Asian Institute of Technology (SEAIT), Tupi, South Kotabato. Methods of traditional appearance in educational institutions are often disabled, error-prone and susceptible to manipulation. The project integrates human-computer interaction (HCI) principles into a smart wearable device that uses ID scanning to automate the attendance and recording of student participation. The system aims to improve accuracy, reduce administrative burden, and increase the user experience through user -friendly interfaces and real -time data processing. The purposeful test and performance assessment demonstrated that the system provides more efficiency and satisfaction than traditional methods, although some users expressed concern over the need for privacy and additional support. Overall, the system shows strong ability to increase institutional operations in the resource-limit environment.

DOI: 10.61137/ijsret.vol.11.issue3.110

Published by: Kajal Tripathi

Bridging the Digital Divide: How Camstar Mes Is Revolutionizing Modern Manufacturing
Authors:-Satish Kumar Nalluri, Varun Teja Bathini

Abstract-:In today’s factories, machines and software don’t always talk to each other smoothly. Workers still juggle spreadsheets, punch in data by hand, and chase down errors—tasks that eat up time and open the door for mistakes. But what if the factory could almost run itself? This research explores how two powerful technologies—Camstar MES (a brain for manufacturing operations) and RPA (software “robots” that mimic human clicks and keystrokes)—team up to close those gaps. Imagine Camstar as the vigilant supervisor, tracking every widget on the assembly line in real time, while RPA bots quietly handle the tedious paperwork: updating inventory, logging defects, or even pinging a manager when a machine acts up. Together, they turn clunky, error-prone workflows into a seamless dance of data.

DOI: 10.61137/ijsret.vol.11.issue3.109

Published by: Kajal Tripathi

Understanding Streaming Success Through Spotify Analytics
Authors:-Satish Kumar Nalluri, Varun Teja Bathini

Abstract-:In today’s factories, machines and software don’t always talk to each other smoothly. Workers still juggle spreadsheets, punch in data by hand, and chase down errors—tasks that eat up time and open the door for mistakes. But what if the factory could almost run itself? This research explores how two powerful technologies—Camstar MES (a brain for manufacturing operations) and RPA (software “robots” that mimic human clicks and keystrokes)—team up to close those gaps. Imagine Camstar as the vigilant supervisor, tracking every widget on the assembly line in real time, while RPA bots quietly handle the tedious paperwork: updating inventory, logging defects, or even pinging a manager when a machine acts up. Together, they turn clunky, error-prone workflows into a seamless dance of data.

DOI: 10.61137/ijsret.vol.11.issue3.108

Published by: Kajal Tripathi

Formulation and Evaluation of an Iron Rich Functional Beverage: The Development of Berry Blast Golisoda
Authors:-J.Pradeep, Dr. A. Swaroopa Rani1, P. Jaideep Reddy

Abstract-:This study focuses on formulating and evaluating “Berry Blast goliSoda,” an iron-rich functional beverage aimed at combating iron deficiency in young adults. Made from beetroot, pomegranate, and strawberry extracts, along with ferrous gluconate, the drink offers a natural source of iron, vitamin C, and antioxidants. Natural carbonation enhances its sensory appeal. The optimized formulation was assessed for physicochemical properties, iron content, antioxidant activity, microbial safety, and sensory acceptability. Results showed high iron bioavailability, good stability, and favorable sensory scores, highlighting its potential as a nutritious and appealing health beverage.

DOI: 10.61137/ijsret.vol.11.issue3.107

Published by: Kajal Tripathi

Analysis of Thermal Performance of 3D Model Solar Photovoltaic Panel
Authors:-Assistant Professor Mr. T. Siva Krishna, K. Yesu Raju, M. Vinay Kumar, G. Dattu Babu Rao, J. Sushwanth

Abstract-:Solar panels have become a cornerstone of modern renewable energy systems, offering a clean and sustainable alternative to fossil fuels. With increasing demand for green power, photovoltaic (PV) technology is now widely used in residential, commercial, and industrial sectors. However, the efficiency of solar panels is heavily influenced by their operating temperature, which highlights the need for efficient thermal management systems. This project aims to investigate the thermal behaviour of solar panels with different photovoltaic cell materials—including Silicon, Gallium Arsenide, Cadmium Telluride, and Perovskites—under varying fin thicknesses (3mm, 5mm, and 7mm) using ANSYS Workbench. A detailed finite element thermal analysis was carried out to simulate real-time solar heating conditions. Aluminium fins were incorporated to enhance heat dissipation via passive cooling. Convective and radiative losses were modelled accurately to simulate realistic boundary conditions. To assess the influence of computational accuracy, simulations were performed with two mesh sizes: 0.1mm and 0.05mm. The finer mesh (0.05 mm) revealed more precise temperature gradients and improved resolution in hotspot identification across different materials and fin configurations. Overall, the study provides valuable insights for optimizing passive cooling systems for solar panels and demonstrates how simulation can guide the material and design selection process for better thermal performance and reliability.

DOI: 10.61137/ijsret.vol.11.issue3.106

Published by: Kajal Tripathi

Crash Analysis Using Regression Model in Kollam District
Authors:-Assistant Professor Niranjini Shibu, Assistant Professor Sameena A

Abstract-:Rapid population expansion and rising economic activity have led to an enormous increase in motor vehicles, which is one of the main causes of an increase in road accidents in many major cities. In this paper, four factors are taken into account while evaluating the degree of road safety in Karunagapally, Kollam District. The factors considered are accident severity index, accident fatality rate, accident risk and accident risk. The data set for six years (2017 to 2022) is brought from “Police Department”. And also, Regression-based data analysis carried out to foresee the likelihood of accidents in a given environment. As a result, there is or should be a close relationship between crash investigation, data collection and analysis, and the creation and evaluation of viable countermeasures. Finally, it is critical that the study results are shared to those who are involved in implementing countermeasures and preventive programs.

DOI: 10.61137/ijsret.vol.11.issue3.105

Published by: Kajal Tripathi

Trafine- Smart Traffic Fine Management System
Authors:-Kripa Shankar Pathak, Tanvi Singh, Shivani Yadav, Rishu Kumari

Abstract-:The rapid rise in urban traffic has heightened the necessity for effective and clear systems to manage traffic violations. Conventional approaches to issuing and managing traffic fines are frequently hindered by inefficiencies, human error, delays, and a lack of accountability. This paper presents a Smart Traffic Fine Management System (STFMS) that utilizes cutting-edge technologies such as the Internet of Things (IoT), image processing, cloud computing, and real-time data analytics to automate the identification, documentation, and penalization of traffic infractions. The system combines traffic surveillance cameras with license plate recognition, violation detection algorithms, and a centralized database to issue fines immediately. It also features an intuitive mobile and web interface that allows drivers to view, contest, or pay their fines securely. By automating the complete process of traffic fine management, the proposed system improves transparency, minimizes corruption, and ensures prompt enforcement of traffic regulations, ultimately leading to safer and more orderly road usage. Consequently, individuals are unable to complete the necessary tasks on schedule, resulting in a waste of both time and effort. Additionally, vehicle owners sometimes neglect to bring their licenses and other required documents during inspections. To address these issues, it’s essential to consolidate all vehicle and driver information into a centralized database managed by the chief director of the RTO.

DOI: 10.61137/ijsret.vol.11.issue3.104

Published by: Kajal Tripathi

Development of a Motor Control Board Using KiCad: From Schematic to Fabrication
Authors:-T Manoj Nandan, Associate Professor Dr. Pavithra G, Associate Professor Dr. Swapnil SN

Abstract-:This paper presents the comprehensive development of a motor control printed circuit board (PCB) utilizing the open-source KiCad Electronic Design Automation (EDA) tool. The study outlines the complete design cycle including schematic creation, PCB layout, electrical rule checks, and fabrication file generation. A DC motor control application is selected as the case study to illustrate the process. The project emphasizes the practicality, accessibility, and educational potential of using KiCad in academic and hobbyist environments.

DOI: 10.61137/ijsret.vol.11.issue3.103

Published by: Kajal Tripathi

An Integrated Software Architecture for Streamlining Industrial Automation
Authors:-Ravoor Kalyan, Associate Professor Pavithra G, Associate Professor Dr. Swapnil SN

Abstract-:The Aspect Integrator Platform (AIP) developed by ABB is designed to facilitate the creation of next-generation industrial automation applications. This platform is part of a broader suite of products that enables the modeling, control, and supervision of both continuous and discrete processes across various industries, including chemical, metal, paper, and consumer sectors. Each product within the suite operates at a different level of the manufacturing process and is tailored to meet specific safety and real-time requirements. However, they all share a common architecture that ensures interoperability.In this paper, we explore the various types of dependencies that can arise between components, illustrating them through an example from the automotive industry. We then demonstrate how representing these dependencies using XML can improve dependency tracking and maintain consistency among components. This approach benefits from XML’s inherent capabilities for structuring and validating data through XML Schemas. Additionally, we highlight the advantages XML brings to future developments of the platform, particularly in areas such as data manipulation, transmission, and storage.

DOI: 10.61137/ijsret.vol.11.issue3.102

Published by: Kajal Tripathi