VOLUME 12, ISSUE 10, OCTOBER 2023

Abstract: Chronic Kidney Diseases are undoubtedly one of many fatal diseases that are very difficult to diagnose. With early diagnosis and treatment, it is possible to slow or stop the progression of chronic kidney disease (CDK). However, the most basic kidney screening tests available, such as the Blood Urea Nitrogen (BUN)/creatinine ratio test, cost $25 or more. This disease remains a leading cause of end-stage kidney disease thus requiring renal replacement therapy with dialysis or kidney transplantation. In this work we developed a model to predict the various stages of kidney diseases using deep belief neural network using clinical data. The model was trained using dataset containing 400 patient records. The attributes used for building our model includes; age, blood pressure, albumin, red blood cells, pus cells, pus cells clumps, hemoglobin, White blood cell count, Red blood cell count, etc. Object-oriented design methodology was used for system development. Localization model was used to identify quality kidney images. Deep belief neural network was used to analyze the image of the kidney and predict the status of kidney health. System was implemented in python programming language. The system successfully classified kidney disease dataset into CKD and non-CKD with 98% overall accuracy when the model was tested with a set of data that were not used during the training process.

Keywords: Deep neural networks, chronic kidney disease, supervised machine learning. Works Cited: Aloy-Okwelle C, O.T. Olise , O.P Nweke " A Deep Belief Neural Network Model for Predicting the Early Phases of Chronic Kidney Disease ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 1-10, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121001

Abstract: The process of developing extensive and sophisticated websites for the internet or an intranet is known as web development. Languages like HTML, CSS, JavaScript, and PHP are typically used in conjunction with other programming and mark-up languages. Every aspect of the project is built on HTML. To style or adorn the websites, Cascading Style Sheets (CSS) is utilized. Additionally, external style sheets may be used. It is injected or programmed into HTML. PHP, also known as Personal Home Page hypertext pre-processor and formerly known as Personal Home Page, is a server-side scripting language that is employed to build dynamic websites. In this paper, we are developing a website called “photography app” which can be used by amateur or professional photographers. Customers can book their appointment with a photographer who has registered with our photography app for his/her occasion. There are many applications of this web application and the users are just one click away from their desire.

Keywords: Web development, HTML, CSS, JavaScript, and PHP, Cascading Style Sheets (CSS). Works Cited: Nehha, Hemanth V " Full Stack Web Development: Photography App", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 11-17, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121002

Abstract: The aviation industry has perpetually aligned itself with technological evolutions, anchoring its mission in fortifying safety and amplifying operational efficiency. This research unfolds a narrative that intricately binds three pivotal technological domains: Machine Learning (ML), the Internet of Things (IoT), and Data streams. When synergized, these domains manifest a potent avenue that promises to redefine the contours of aero engine diagnostic procedures. Central to our exploration is the axiom that the multifaceted data emanating from aero engines, when adroitly analysed, can proactively signal operational discrepancies, potentially long before they translate into tangible complications. The IoT ecosystem, endowed with a diverse range of sensors, meticulously logs data spanning an array of engine operational metrics, encapsulating everything from nuanced temperature variances to intricate vibrational oscillations. Such expansive, real-time data streams necessitate analytical methods that transcend traditional paradigms. This is where Kafka emerges as an instrumental tool. As a proficient data streaming mechanism, Kafka ensures seamless, lossless ingestion of large data volumes. Beyond mere data capture, Kafka facilitates a fluid interface with ML platforms, enabling on-the-fly data interpretation. This dynamic integration guarantees that inferences related to engine functionality or impending malfunctions are derived with expedited precision. Machine Learning stands as the linchpin in this triad, shifting the focus from rudimentary benchmarking to a more nuanced, data-informed analytical approach. Through ML, discernible patterns embedded within both archival and contemporaneous data are extracted, resulting in predictions characterized by an unparalleled degree of precision. The iterative learning from vast data repositories enhances the model's foresight, culminating in a more nuanced anticipation of test failures. To encapsulate, our study paints a visionary scenario wherein the conventional aero engine evaluations transition from being mere periodic inspections to a sophisticated, data-led predictive endeavour. Through the amalgamation of IoT's data acquisition prowess, Kafka's real-time data orchestration, and ML's predictive acumen, we envisage a transformative trajectory aimed at bolstering aero engine dependability and overarching aviation safety.

Keywords: Aero Engine, Machine Learning (ML), the Internet of Things (IoT), and Kafka. Works Cited: Kiran Peddireddy " Effective Usage of Machine Learning in Aero Engine test data using IoT based data driven predictive analysis ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 18-25, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121003

Abstract: In comparison to current 4G LTE networks, the ultimate objectives of the upcoming 5G wireless networking are to have relatively fast data speeds, incredibly low latency, significant increases in base station efficiency, and significant changes in expected Quality of Service (QoS) for customers. The use of broadband data has increased quickly as a result of the need to deal with cutting-edge technologies and connectivity, such as smart cell phones, internet of things (IoT) devices, autonomous vehicles, virtual reality equipment, and connectivity in smart homes. Furthermore, a significant increase in system bandwidth is required to support the most recent applications. Utilizing a contemporary spectrum with higher data levels will enable this development. Globally, 5G network commercialization is accelerating. 5G communications are viewed from the perspective of industry development drivers as being essential for improvements to personal consumption experiences and digital industrial transformation. Globally significant economies need 5G to be a crucial component of long-term industrial development. Thousands of industries will adopt 5G both commercially and technically. Further DOICT and other technology integration is required for 5G. As a result, this white paper suggests ongoing research on the continued development of 5G networks. Full consideration of architecture evolution and function enhancement is required, along with 5G-Advanced. Using the three characteristics of artificial intelligence, convergence, and enablement, this white paper analyzes the network evolution architecture of 5G-Advanced before elaborating on the technical development direction of 5G-Advanced. Artificial intelligence refers to network AI, which makes full use of machine learning, digital twins, recognition, and intention networks to improve the network's ability to operate and maintain itself intelligently. 5G and industry network convergence are examples of convergence. In order to realize the integration development, there is convergence in the home network as well as the space-air-ground network. Enabling allows for the improvement of deterministic and interactive 5G communication capabilities. It improves current technologies like network slicing and positioning to better aid the industry's digital transformation..

Keywords: 5G Network , 5G Architecture, 5G Deployment,  AI, 5G APPLICATION Works Cited: Okorogu Victor Ndubuisi, Alumona Theophilus Leonard " DEPLOYMENT OF 5G-ADVANCED ARCHITECTURE FOR FUTURE APPLICATIONS ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 26-33, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121004

Abstract: Due of an upward trend in browsing habits and time spent online, the number of phishing attacks on online users has spiked. Phishers use fake websites, phone calls, emails, and text messages in phishing attacks to deceive people into passing up their personal information or sensitive data, downloading malware, or making themselves or the organization they work for vulnerable to cybercrime. This paper looks at how a person's online spending habits and the amount of time they spend browsing the internet affect their awareness of phishing. By looking at the relationship between the amounts of time they spend on the web, their online browsing habits, and how they are aware of phishing attacks, the research also intends to raise cybersecurity awareness and reduce the risks of phishing attacks. The research findings demonstrate that individuals with longer online spending hours tend to have a higher susceptibility to phishing attacks, often falling victim to deceptive tactics employed by phishers. Conversely, those who exhibit more responsible online spending habits and depict security-conscious behaviours are better equipped to detect and thwart phishing attempts effectively. By shedding light on this relationship between online spending habits and security awareness, this study contributes to the collective efforts to enhance online safety and reduce the incidence of successful phishing attacks. The results presented in this paper offer valuable insights for individuals, organizations, and cybersecurity professionals seeking to bolster defences against phishing threats.

Keywords: Phishing Attacks; Security awareness; Online spending hours; Browsing habits; Phishers Works Cited: Dr. Sivaraju Kuraku and Dinesh Kalla, Fnu Samaah " Impact of phishing on users with different online browsing hours and spending habits ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 34-41, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121005

Keywords: Web-based E-library Platform, Digital Library, Educational Resources, User-friendly, Interactive. Works Cited: Baitullah Bareer, Mengru Xue, Hameedullah Mohammadi " Assessing User Needs and Preferences for a Web-Based E-Library Platform at Paktia University: A Survey Study ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 42-54, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121006

Abstract: The research you mentioned introduces a new way of interacting with games through the recognition of hand gestures. This is achieved by combining two technologies: Google’s Mediapipe and PyGame. Google’s Mediapipe is a cross-platform framework for building multimodal applied machine learning pipelines. It provides tools for building and running these pipelines, including machine learning models, to process real-time video, audio, and other sensor data. In this context, it is used for real-time hand gesture recognition. This means that the system can identify and interpret the movements and positions of the hands and fingers in real-time. PyGame is a set of Python modules designed for writing video games. It includes computer graphics and sound libraries that can be used in Python. In this research, PyGame is used for game development, providing the framework within which the games that will be controlled by hand gestures are built.

Keywords: mediapipe, Pygame, virtual reality, gaming industry. Works Cited: Palash T. Sole, Prayag K. Nangude, Nitin K. Gond, Kimaya A. Patil, Eknath Raut" Gesture Controlled Recognition Based Game Using Mediapipe and PyGame", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 55-61, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121007

Abstract: Modern society places a high importance on online education because of how quickly technology is developing and how education must change to keep up. E-learning is the only option left following the COVID-19 pandemic to keep instruction going during lockdowns, though. Artificial plays an important role in it. The avoidance of unfair means occurring during online exams is one of the most challenging circumstances exam invigilators encounter. Some of the issues can need consulting nearby references or perhaps getting assistance from neighbours. The principles of facial detection and recognition by Local Binary Pattern Histogram Algorithm, Dlib, toolkit, OpenCV library, and YOLOv3 are used in this research to offer a smart invigilation system that can facilitate exam enrollments and eliminate methods of impersonation and cheating. The evaluation of responses, particularly those of the subjective variety, is one of the main difficulties of online exams. Subjective responses gauge a student's capacity for information retention and verbal expression. Subjective questions, in contrast to objective questions, may have more than one valid response. These responses can state the same thing in a different language and grammatical structure. As a result, grading subjective questions manually takes a lot of time and is difficult to automate. This work uses machine learning (ML) and natural language processing (NLP) to automatically grade subjective questions. The objective response and the ideal response offered by the body that formulated the question were contrasted in the study.  

Keywords:  Machine Learning, Natural Language Processing (NLP), artificial intelligence, facial detection Works Cited: Rudresh Kale, Aniket Gaikwad, Shivani Gunjal, Prashant Gawali, Abhay R. Gaidhani " Review Online Examination System Using Artificial Intelligence", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 62-66, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121008

Abstract: Using creative approaches, this paper focuses on (i) roles of imaging technologies, MGBA (Microbiome-Gut-Brain-Axis) and mind in personality, human health, and longevity, (ii) why groups led by a human have difference of opinion or fight among themselves, and (iii) why gypsies (led by an ideology and technology) don't fight among themselves and why ants in a colony don’t fight. The human personality, quality of life, role/use of new technologies and longevity depend on (a) pre-birth development, (b) post-birth environment & development, (c) early childhood, (d) early education, (d) college and university education, (d) job, and (e) interplay between mind (personality) & brain (survival). This paper identifies reasons why (i) the factors (a) – (e) new technologies are important and (ii) female mind is better in multitasking and male mind in focus. Ideas have been identified that affect some of the factors (a) – (e), role of new imaging technologies and why female mind is better in multitasking male mind in focus. The roles of several new/existing technologies, MGBA and mind in human health, personality and longevity are identified. Works Cited: Dean M. Aslam " Technology, MGBA and Mind Roles in Personality, Health, and Longevity of Humans ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 67-77, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121009

Abstract: Industrial attachment is an important component of learning process in all professions without which most students will not be in a position to actualize the knowledge studied in class. Information Technology profession like other professions requires students to undergo industrial attachment inorder to sharpen their skills ready for job market. The study reviewed literature on industrial attachment practice investigating challenges experienced before and during the industrial attachment. The study further did content analysis of the industrial attachment assessment forms of students who were on attachment in the directorate of ICT Moi University. Some of the challenges experienced by attachees include: inadequate finances for upkeep, irrelevant attachment opportunities, limited access to equipment/machines, sexual harassment by staff, supervisors or fellow peers, limited resources and space to accommodate the students on attachment, social media influence, lateness reporting to work station, absenteeism and lack of commitment from institutional supervisors. Analysis of assessment forms showed that majority of the students on attachment had good attitude towards work assigned to them. Moreover they were competent in the work assigned to them and had good social skills but majority had average or poor communication skills.

Keywords: Industrial attachment, phenomenology, Assessment, ICT, attachees Works Cited: Samuel Khayo Shitote, Collins Otieno Odoyo " The Nature of Information Technology related Industrial Attachment in Kenya ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 78-82, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121010

Abstract: software testing is a long way off from being truly autonomous, the sector can look forward in 2023 to tools that are increasingly capable of serving as test team assistants or consultants. Software testing is the process of evaluating and verifying that a software product or application does what it is supposed to do. The benefits of testing include preventing bugs, reducing development costs, and improving performance.

Keywords: Progress of testing, AI-enabled testing, testing, advantages of AI-related testing. Works Cited: GREESHMA T NATH " AI-ENABLED TESTING WILL GET SMARTER @ 2023 ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 83-85, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121011

Abstract: Decentralized blockchain-powered peer-to-peer carpooling presents an innovative, middleman-free solution for secure and transparent ride-sharing. By leveraging blockchain, this proposal establishes a trust-less environment for direct user connections and ride-sharing, with all transactions securely recorded, promoting transparency and heightened security. Smart contracts automate driver-passenger matching and payments, offering the potential to alleviate traffic congestion, reduce transportation costs, and enhance environmental sustainability. Furthermore, the proposed model introduces an essential emergency contact and live location sharing feature, enhancing trust and security within carpooling services by enabling users to share real-time locations with trusted contacts and promptly access emergency services in the event of safety concerns.

Keywords: Peer-to-peer Carpooling, Decentralization, Authentication, Blockchain Works Cited: Gauri Firke, Rinku Bhagwat, Yashashri Bhor, Sankalp Jagdale and Prof.Varsha M. Gosavi" Carpool Crew: Uniting Commuters for a Greener and a cheaper ride ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 86-90, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121012

Abstract: The objective of this project is to create a movie recommendation system that utilizes Singular Value Decomposition (SVD) as the core algorithm. SVD is a well-known matrix factorization technique that effectively models user-movie interactions and extracts underlying features from the user-item matrix. By applying SVD, the recommendation system can uncover hidden patterns and similarities in movie preferences, resulting in precise and personalized movie recommendations. The system will utilize user ratings and movie metadata to construct a comprehensive user-item matrix, which will then undergo decomposition using SVD. The resulting low-rank approximation will be used to predict missing ratings and generate top-N movie recommendations for each user. The project will focus on optimizing the SVD algorithm, addressing data sparsity issues, and implementing an efficient recommendation generation process. The aim is to develop a scalable and accurate movie recommendation system that enhances user satisfaction, engagement, and overall movie-watching experiences.

Keywords: Single Value Decomposition, Movie Recommendation Works Cited: Aditya Bhardwaj, Chirla Rushil Reddy, Palak Arora " Movie Recommendation System Using SVD (Letterboxd) ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 91-99, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121013

Abstract: Containerization has gained immense popularity in cloud computing. However, it introduces specific security challenges and vulnerabilities. This paper delves into the technical aspects of these issues, providing a comprehensive analysis of container security best practices and mitigation strategies. Real-world case studies and references to current research in the field are used to support the findings.

Keywords: Cloud Security, Cyber Security, Vulnerability and threats, Security Management, Container, Docker Works Cited: Soumy Naman, Beerappa Belasakarge " Addressing Containerization Challenges and Vulnerabilities in Container ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 100-105, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121014

Keywords: Air Quality Index, Support Vector Regression, Radial Basis Function (RBF), Principal component analysis, Central Pollution Control Board Works Cited:

Aishwarya Sajjan, M. Farida Begam, Ayush Dubey " Predicting Air Quality Index using most suitable ML model ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 106-114, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121014

Abstract: Cybersecurity pertains to safeguarding systems linked via the Internet, including hardware, software, and data, shielding them against cyber attacks from malicious actors. A regulatory framework for cybersecurity becomes essential to safeguard information technology and computer systems, compelling a variety of organizations and businesses to defend their data and systems against online attacks. Viruses, phishing, Trojan horses, worms, Denial-of-Service (DoS) attacks, unauthorized access (such the theft of personal data or intellectual property), and control system intrusions are examples of potential cyberattacks. Our emphasis in this paper is on illustrating the value of various standards in bolstering cyber defense and explaining the structure of cyber security frameworks. Detailed discussions revolve around the array of security threats,  attack methodologies, and countermeasures prevalent in the realm of cyber security. Furthermore, we delve into the challenges pertaining to standardization within the cyber security domain. Additionally, a thorough exploration of the national cyber security strategy, designed to secure digital landscapes, and various government policies aiming to ensure cyber security, is presented. The discussion is concluded with important recommendations that are vital to the fields of digital safety and cyber defense.

Keywords: Framework, Cyber Security, Cyber Attacks, Policies Works Cited: Beerappa Belasakarge, Dr. Basavaraj G N, Dr. Usha B A " Regulatory Landscape in Cyber security: Framework, Criteria, and Guiding Principles ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 115-125, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121016

Abstract: The proliferation of batik industries in Sleman has left outsiders confused due to the lack of specific information and limited accessibility. To address this issue, a web-based application and Geographic Information System (GIS) with Location-Based Service (LBS) technology were developed. The system's purpose is to assist users in finding batik industry locations in Sleman, offering route information and other essential details.This system also facilitates monitoring of industry development, product types, customer visits, and reviews. Developed using the Systems Development Life Cycle (SDLC) method, the system's design is presented through a detailed data flow diagram.System testing included beta testing and Mean Opinion Score (MOS) assessment involving 15 respondents, resulting in an impressive score of 4.66 out of 5. The system operates effectively, simplifying the search for batik industry locations and providing information on routes, addresses, and contact details for batik shop owners in Sleman..

Keywords: Geographic Information System, Location Based Service, Progressing Batik Industry, Means Opinion Score, SDLC Works Cited: Fitriani Ramadhani, Tri Widodo " Development of a Geographic Information System Using Location-Based Services to Monitor the Progressing Batik Industry", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 126-135, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121017

Abstract: For artificial intelligence (AI) to reach its full potential, prompt engineering is essential, especially for interactive AI and platform development. These abstract highlights the importance of chain prompting, AI, and prompts as a whole by examining the complex relationship between them. A carefully worded prompt can act as the basis for creating interesting and contextually appropriate interactions in the field of conversational AI. In order to get the required responses from AI models like GPT-3, prompt engineering requires precisely modifying the prompts. This produces discussions that are more relevant. Chain processing, on the other hand, promotes natural discourse flow by deftly connecting questions and answers. Effective platform design is based on the symbiotic interaction between prompt engineering and chain processing, which improves user experiences across a range of applications. We navigate the dynamic environment of generative AI.  

Keywords: Prompt Engineering, Artificial Intelligence, Generative AI, Chain Prompting, Platform, Interactive AI Works Cited: Dhyankumar Patel, Sahil Kadbhane, Mohammed Sameed, Arya Chandorkar, Aniruddha S. Rumale " Prompt Engineering Using Artificial Intelligence ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 136-141, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121018

Keywords: Stress detection parameters, psychological stress, physiological stress and method of stress detection Works Cited: Hemangi Y. Rane, Harshali B. Patil " A Review on Stress type Analysis using Machine Learning ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 142-147, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121019

Abstract: Design and implementation of fire warning and alarm systems for detecting true fire accidents with classified false alarms. The KNN algorithm is used to detect the true presence of fire. In this System mainly two phases. The first phase of Machine Learning and the other phase consist of a IOT. The Internet of Things (IoT) is very helpful for predicting and monitoring this kind of situation. As it can work with real time data as well as the past data that was recorded earlier. This IoT sends data through Wireless Sensor Network (WSN) to the computational devices so that the result can be generated. Thus many have moved from physical parameter fire prediction to real time computational monitoring. The proposed system uses different atmospheric sensors such as humidity, temperature, smoke and flame. The recorded data is stored and passed to the device and thus the result is obtained. This system has been applied to the arduino Uno micro-controller. Sensors are used to collecting data & these data were transferred to arduino Uno microcontroller board. The GSM module alerts the fire warning via SMS.

Keywords: IOT, FDWS, Multi-Sensor, KNN, MATLAB, ThingSpeak. Works Cited: Niteenkumar Vaghela, Rushikesh Chaudhari , Jigar Dalvadi, Krutika Trivedi" DAn Intelligent Fire Warning Application Using KNN ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 148-150, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121020

Abstract: The number of marine tourist attractions in the Gunungkidul area makes tourists or visitors confused to choose a marine tourist spot. In addition, the availability of information about marine tourist attractions is very limited so it is difficult to see the development of these tourist attractions. Therefore, a web-based marine tourism location mapping geographic information system was created which aims to implement a geographic information system using map visualization that can make it easier for tourists to find information about marine tourism in the Gunungkidul area and can help show the route to be traversed by users and monitor its development. This system was created using the SDLC method which produces a systematic and structured system design. In making this system design using data flow diagram (DFD). The test method used is the beta method which uses the SUS type of testing with 40 respondents and uses 3 parameters to measure speed, ease, and failure when users use the system and get results above average, The results of the tests conducted by researchers get a value of 84.5 which states that the system is feasible to use and implement to users so that the creation of this web-based marine tourism location mapping geographic information system can provide information to users to make it easier to find marine tourism locations and other information such as routes, addresses, pictures of these marine tourism locations.

Keywords: Marine Tourism, Geographic Information System, SDLC, SUS. Works Cited: Finan Aji Hafiansyah, Murti Retnowo " Development of Geographic Information System with Location Based Service Method Approach for Marine Tourism Mapping", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 151-162, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121021

Abstract: This case study introduces a new intelligent chatbot data analysis that aims to liberate data analysis by providing an intuitive and inclusive platform for users of all experiences. The chatbot allows users to easily upload CSV files and engage in natural language conversations to gain insights, generate insights, and derive predictive analysis. The project leverages the latest natural language processing (NLP) and machine learning (ML) technologies to help users interact seamlessly with the system. Users can ask questions, request specific information analysis, and seek clarification using the common language. The approach involves collecting and prioritizing data, using powerful NLP models to understand language, and integrating machine learning algorithms for data analysis. The chatbot's interface is important for customer interest; It provides an intuitive environment for submitting information, user interaction, and approval. This AI-powered data analytics chatbot marks a major advancement in data analytics by bridging the gap between data intelligence and non-machine users. It simplifies data analysis, enabling a wider range of users to use intelligence capabilities to make data-driven decisions.

Keywords: NLP, Machine Learning, CSV File, Data Analytics, Data Processing, Data Visualization Works Cited: Akshay Bhor, Ujwala Sangale, Abhishek Sinha, Aniket Shewale, Prof. Abhay Gaidhani" AI-Driven Insights and Data Visualization ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 163-169, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121022

Abstract: As technology continues to advance, there is a growing interest among researchers in creating robots that can simplify human lives. One area of focus is domestic robots, which are gradually making their way into households, although the market is still relatively new and developing. Despite this, predictions suggest that there will be significant growth in the adoption of domestic robots. The objective of this project is to design and implement a Floor Cleaning Robot through an Android Application. This robot aims to streamline the cleaning process by providing an alternative to manual vacuuming. The primary goal is to develop a prototype of a Floor Cleaning Robot using key components such as Raspberry Pi, L298N Motor Drivers, 12V DC Motors, and a 5V Submersible DC pump motor. The Raspberry Pi3 functions as the central control unit for the cleaning robot. The mopping function can be activated or halted at any given point as per user requirements. The mopping brush, powered by a dedicated DC motor, is responsible for the mopping operation, with its control signals originating from the central controller.

Keywords: Raspberry pi 3; DC motors; L298N Motor; Water Pump Works Cited: Swathi R, R Ananya, Kshama K M and Dr M V Sreenivas Rao" DESIGN AND IMPLEMENTATION OF A BLUETOOTH CONTROLLED FLOOR CLEANING ROBOT ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 175-182, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121024

Abstract: Grape diseases are main factors causing serious grapes reduction. So it is urgent to develop an automatic identification method for grape leaf diseases. Deep learning techniques have recently achieved impressive successes in various computer vision problems, which inspires us to apply them to grape diseases identification task. In this paper, a united convolutional neural networks (CNNs) architecture based on an integrated method is proposed. The proposed CNNs architecture, i.e., UnitedModel is designed to distinguish leaves with common grape diseases i.e., black rot, esca and isariopsis leaf spot from healthy leaves. The combination of multiple CNNs enables the proposed UnitedModel to extract complementary discriminative features. Thus the representative ability of UnitedModel has been enhanced. The UnitedModel has been evaluated on the hold-out PlantVillage dataset and has been compared with several state-of-the-art CNN models. The experimental results have shown that UnitedModel achieves the best performance on various evaluation metrics.

Keywords: leaf disease, deep learning, feature extraction. Works Cited: Ajinkya Ghuge, Dhiraj Jagtap, Swayam Sangle, Dnyaneshwar Darade, Prof. Aniruddha Rumale " Grape leaf disease detection ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 183-186, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121025

Abstract: As technology continues to advance, there is a growing interest among researchers in creating robots that can simplify human lives. One area of focus is security and To enhance surveillance capabilities and determining unauthorized access and to meet these requirements, we have developed a robot capable of conducting surveillance and alerting home owners or industries when an unauthorized individual attempts to enter their premises without proper authorization. This versatile robot operates in two distinct modes: auto-pilot mode and manual mode. Moreover, the robot is furnished with a suitable environmental sensors, including temperature and humidity sensors, pressure sensors, LDR (Light Dependent Resistor), and PIR (Passive Infrared) sensors. These sensors continuously monitor environmental parameters and trigger alert messages if any of the values exceed the predefined normal range. The software tool known as blue dot which is used to control the motion of the surveillance robot in all directions (left, right, forward, backward) which is the android application used. This integrated system offers a robust and comprehensive solution for enhancing security and surveillance, making it an valuable asset for safe guarding homes and industrial facilities.

Keywords: Raspberry pi 3; PIR sensor; Surveillance; Webcam. Works Cited: Kshama K M, Sharanya K P, Swathi R and Dr M V Sreenivas Rao " DESIGN AND IMPLEMENTATION OF SURVEILLANCE AND RESCUE ROBOT USING SMARTPHONE ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 187-194, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121026

Abstract: Driver errors in vehicular incidents present a formidable and hazardous challenge to our community. These lapses in judgment and attention can lead to severe accidents, occasionally with fatal consequences, further compounded by the often-uncontrollable circumstances that follow. A multitude of factors contribute to these automotive disasters, including excessive speed, driving while fatigued, and a range of distractions like texting, engaging in conversations with passengers, or tending to children, among others. Although the public is generally aware of the risks associated with reckless driving, the full extent of peril stemming from driver fatigue might not be fully appreciated. The stark statistics serve as a stark reminder of the urgency surrounding this issue. Each day, roughly 1,374 lives are lost, amounting to nearly 400,000 annual fatalities. On average, we witness approximately 57 road accidents and 17 resulting deaths per hour, all stemming from motor vehicle accidents. What's even more concerning is that 54.1 percent of those involved in these car accidents fall within the age bracket of 18 to 34. Recognizing the gravity of this problem, the Government of India, in collaboration with the Department of Border Transport and the Department of Highways, has embarked on an ambitious plan to reduce road accidents and associated fatalities by 50 percent by the year 2022. This is not just a national concern but a global one, as car accidents have emerged as one of the world's most pressing security issues. In India alone, a staggering 500,000 road accidents were reported in 2015. One of the most perilous scenarios occurs when a driver, overwhelmed by fatigue, struggles to maintain control of their vehicle. Fatigued drivers are often unable to react swiftly to unforeseen situations, frequently leading to accidents. It is, therefore, imperative to deploy monitoring systems designed to detect driver drowsiness, effectively mitigating the risks of accidents. In response to this critical necessity, our focus is on the implementation of an eye twitch sensor, integrated into a program aimed at preventing car accidents. This paper scrutinizes the mechanisms for detecting various collision-related factors and the development of a system geared towards reducing such incidents."

Keywords: Defensive Driving, Road Safety, Time and Money Savings, Vehicle Security Works Cited: Priyanshi Sahu, Gayatri Bonsule,Prachita Madekar, Akash Raut, Chetan Nagpure " AURDINO BASED VEHICLE ACCIDENT CONTROLLER USING EYE-BLINK SENSOR ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 195-199, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121027

Abstract: Unmanned transportation is the need of today especially in Industries and at Ports. The unmanned transportation brings automation. Since the scope of AGV is so vast hence in this paper we limit our focus on certain specific area of AGV which includes design and interfacing with software.

Keywords: ATMEGA 328, Software, AGVs, Guided vehicle, IR sensor, RF module, Camera, Line follower Cite: Mr.Rahul B. Chandrayan, "An Approach for Designing Automated Guided Vehicle Systems", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 10, pp. 200-210, 2023, Crossref https://doi.org/10.17148/IJARCCE.2023.121028.