Volume 12 | Issue 6 |

 Abstract

This paper introduces a Chat-bot Assisted Multilingual Platform for Re-use, Re-Cycle, Re-Sale, Disposal of Industrial Material, and Electronics," represents a pivotal intersection of technology and environmental responsibility. In the past, waste management posed challenges, leaving consumers unaware of proper disposal methods. The digital age, chatbots emerged as intelligent conversational agents, bridging the gap between users and information on industrial material and electronics. Originally designed for customer support, chatbots evolved into sophisticated virtual assistants, automating tasks. In our project, chatbots serve as a linchpin, creating an efficient, user-friendly platform for re-use, recycling, sale, and disposal. The initiative addresses the multilingual aspect, seamlessly integrating English, Hindi, and Kannada to ensure inclusivity and accessibility. The project classifies industrial materials, distinguishing plastics for informed decision-making. In electronics, it emphasizes reuse and recycling, diverting devices from landfills. In essence, it stands as a beacon for technology-driven environmental responsibility. The multilingual interface fosters familiarity, transcending linguistic barriers.

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 Keywords

This paper introduces a Chat-bot Assisted Multilingual Platform for Re-use, Re-Cycle, Re-Sale, Disposal of Industrial Material, and Electronics," represents a pivotal intersection of technology and environmental responsibility. In the past, waste management posed challenges, leaving consumers unaware of proper disposal methods. The digital age, chatbots emerged as intelligent conversational agents, bridging the gap between users and information on industrial material and electronics. Or

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Creative Commons Attribution 4.0 and The Open Definition

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India's legal framework is witnessing a transformative shift with the introduction of the Bharatiya Nyaya Sanhita (BNS) Act, 2023. This new legislation aims to replace the Indian Penal Code (IPC) of 1860, bringing about significant changes to modernize the criminal justice system. Here, we delve into the key aspects, innovations, and implications of the BNS.

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BNS, The Bharatiya Nyaya Sanhita

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Due to their effectiveness and eco-friendliness, electric golf carts are growing in popularity on golf courses. With the use of a literature review and data analysis, this research paper intends to present a cost report and business report on electric golf carts. The study examines electric golf cart pricing patterns and how they affect the golf cart market. According to the study's findings, electric golf carts are more cost- and environmentally-friendly than gas-powered golf carts.

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Electric Vehicles, Electric Golf Cart, Business model of electric Golf Cart & Analysis, Sector wise Analysis.

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This review paper presents a comparative analysis of 16-bit and 32-bit Reduced Instruction Set Computing (RISC) pipelined processors, with a focus on their design and implementation using Verilog Hardware Description Language (HDL). The study explores key architectural differences, performance metrics, and resource utilization associated with both processor types. By delving into the pipeline stages, instruction sets, and data paths, the review highlights the trade-offs between the two architectures in terms of complexity, speed, power consumption, and scalability. Detailed simulations and synthesis results will be analyzed to provide a comprehensive understanding of the advantages and limitations of each processor size. The findings aim to guide designers in selecting the appropriate processor configuration for specific applications, balancing the need for efficiency, cost, and performance. The paper concludes with insights into future trends in RISC processor design and potential areas for further research in the context of evolving computational demands and technological advancements.

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 Keywords

Keywords: RISC Architecture, Pipeline Stages, Verilog HDL, Performance Metrics, Resource Utilization

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 Abstract

Attendance tracking is a crucial aspect of daily operations in educational institutions, organizations, and offices. Traditionally, this task involves manual methods like calling out names or roll numbers, which can be time-consuming and prone to errors. The aim of this project is to revolutionize attendance management by implementing a Face Recognition-based system, automating the process and enhancing efficiency. This innovative system, installed in classrooms or designated areas, utilizes facial recognition technology to identify and mark attendance. Students' information, including their names, roll numbers, class, section, and photographs, is stored and trained within the system. OpenCV is employed to extract facial images for training purposes .The system operates by capturing images of individuals approaching the device before the start of the class. These images are then processed through several stages: facial detection using a Haar cascade classifier, facial recognition utilizing the LBPH (Local Binary Pattern Histogram) Algorithm, comparison of histogram data with the established dataset, and automatic attendance marking. An Excel sheet is generated and updated regularly with attendance information, ensuring accurate record-keeping. Overall, this project offers a modernized approach to attendance management, leveraging advanced technology to streamline processes and improve time management in educational and organizational settings.

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 Keywords

Face Recognition-based system, OpenCV, Haar cascade classifier, LBPH (Local Binary Pattern Histogram) Algorithm

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Amidst the dynamic and ever-changing business environment of today, entrepreneurs encounter a multitude of obstacles in streamlining their activities and attaining long-term expansion. Artificial intelligence (AI) integration has become a promising tool for improving efficiency, simplifying processes, and overcoming operational challenges in startup ecosystems. This paper examines the current use of artificial intelligence (AI) to improve the efficiency of startup operations. It discusses the importance of adopting AI, the main obstacles faced, and the rising trends in the startup industry. This paper explores the complex and diverse role of artificial intelligence (AI) in startup environments, using secondary data analysis. The paper highlights the potential of AI to revolutionize operations and enhance competitiveness by analyzing existing literature. Ethical AI practices are becoming increasingly important in the adoption of AI in startups. These policies prioritize transparency, justice, and responsibility in the decision-making processes driven by AI. Furthermore, it is crucial to make investments in AI-powered cybersecurity solutions in order to protect against ever-changing cyber threats and secure valuable data. In addition, the report emphasizes developing patterns such as the integration of artificial intelligence (AI) in edge computing. This integration provides startups with chances to analyze data in proximity to its origin, hence decreasing delays and facilitating instantaneous decision-making. Startups can improve their operational agility, responsiveness, and scalability by adopting these new trends and utilizing AI technologies.

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Artificial Intelligence, Startups, Operational Efficiency, Ethical AI, Cybersecurity, Emerging Trends.

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Creative Commons Attribution 4.0 and The Open Definition

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The growing ecological disaster caused by plastic waste is one of the most urgent concerns of our day. Plastic, a substance once praised for its long-lasting and adaptable nature, has now become a lasting and poisonous kind of garbage, polluting our environments and bodies of water. This initiative, dubbed "Conversion of Waste Plastic Bottles into 3D Printing Filament," presents a ground breaking solution to this issue by transforming discarded plastic into a lucrative asset for the expanding 3D printing sector. The advent of 3D printing technology has brought about a significant transformation in several industries, such as manufacturing and healthcare, by facilitating the fabrication of intricate objects with exceptional accuracy. Nevertheless, the filaments often used in 3D printing, which are referred to as materials, frequently originate from finite resources, hence intensifying the ecological impact. This research suggests an alternate method by creating 3D printing filaments from recycled plastic bottles, so converting a widespread environmental pollution into a valuable resource. Our approach consists of collecting discarded plastic bottles, mostly made of polyethylene terephthalate (PET), which is a commonly used polymer in packaging. The bottles undergo a thorough cleaning, shredding, and controlled heating process using modern nozzle technology. Further, the liquefied plastic is forced out via a small opening to form slender threads, which are further cooled and coiled onto spools to produce filaments for 3D printing. This procedure not only redirects plastic trash away from landfills but also reduces the need for the manufacturing of new plastic, so contributing to a circular economy. The study further investigates the characteristics and efficiency of reused filaments in 3D printing applications. Initial findings suggest that the recycled filaments show similar quality to filaments that are commercially accessible, thereby proving the viability of this method. Moreover, the experiment highlights the possibility of producing filaments locally, which may help decrease emissions from shipping and promote self-reliance in 3D printing materials. Ultimately, this idea represents a fundamental change in how we handle trash and produce materials, transforming the issue of plastic waste into a viable option for environmentally-friendly manufacturing. Through the conversion of discarded plastic bottles into 3D printing filaments, we reduce the negative environmental effects of plastic waste and support the development of sustainable manufacturing methods. This programme demonstrates human creativity in addressing ecological concerns and highlights the capacity of new technology to promote sustainable development. This project represents progress towards a future in which garbage is not considered a final product, but rather a valuable.

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 Keywords

Sustainability, Waste Recycling, Plastic Waste, Plastic Bottles, 3D Printing Filament

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Creative Commons Attribution 4.0 and The Open Definition

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Nowadays, different types of replacement of sand by plastic grains in concrete is getting important in researches. In order to better understand the behavior of concrete piles during curing, exposure to different climatic conditions, and potential deterioration, this study investigates the compressive strength of plastic grain concrete pile by use of embedded temperature sensors. After analysing characteristics of different plastic grain concrete (low density polyethylene, high density polyethylene and polypropylene), HDPE (high density polyethylene) is more sustainable with concrete mix. For this study compressive strength of plastic grain (high density polyethylene) pile is compared with M20 grade concrete pile. During the casting process, temperature sensors are first strategically inserted into concrete piles at top, centre and bottom as part of the research. The exothermic hydration response may be examined by the continuous temperature data recording that these sensors will provide during the curing process. From temperature data maturity and strength is calculated using Nurse- Saul (MNS) function.

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Creative Commons Attribution 4.0 and The Open Definition

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Concrete pile, Plastic grain, LDPE, HDPE, Polypropylene, Temperature sensor

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In pursuit of sustainable development, global economies have banded together. This stands in stark contrast to earlier approaches, in which governments actively sought to advance their economies. Several natural resources have been exhausted and ecological balances have been upset because of nation's competing for economic development. This effect manifests itself in various ways, one of which is the acceleration of global warming. A solution that would make the world a better place for generations to come is urgently required because this endangers human life as we know it. To guarantee that development occurs in a manner that preserves and passes on to future generations undamaged natural resources, the phrase "sustainable development" was coined. This paper attempts to understand and analyze the challenges that India faces in reaching its Sustainable Development Goals and presents solutions to overcome them.

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Sustainable Development Goals (SDG), Global Warming, Natural Resources

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Creative Commons Attribution 4.0 and The Open Definition

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Road traffic accidents are increasing rapidly in India with the increase in traffic density. An accident is the result of factors such as road defects, human errors, engineering defects of the vehicles, non-availability of pedestrian facilities, cyclist facilities, circumstantial factors such as weather conditions, visibility etc. Accidents cause death, disablement, damage to property and health, social suffering, and also general degradation of the environment. In this project study, Traffic accident analysis of selected stretch of Yavatmal district in Maharashtra state is carried out project study aims to calculate accident rate and frequency for a particular road stretch. Literature review is conducted the traffic agencies and public concentrates at the measures to reduce such accident severity in order to reduce the fatality rate. The location of high risk where crash tends to concentrate over the time are hazardous locations .The analysis of traffic signals and road safety devices present on the road using geodetic techniques. The road stretch chosen for purpose of our study is extending from Sharda chowk to Lohara square. This 5 kilometer road stretch is divided into segments of 1000 meter each, for the purpose of analysis . The calculations described in this project is based on recorded accidents and data about accidents. The information available for accidents studies is taken form local police stations in form of FIR, the data of last two years (2022-2024) is extracted form FIR records. The type of data extracted is like location of accidents and fatalities in the selected stretch. We have calculated accident rate and accident frequency by using methods. Monthly variation, hourly variation of accident rate on the road and vehicle. Road safety awareness should be raise among users to reduce accidents.

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 Keywords

Accident anaylsis, FIR

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Creative Commons Attribution 4.0 and The Open Definition