{"title":"Auto Generated Agreement Based House Rental System","authors":"Amina S, Harikrishnan S R","doi":"10.48175/ijarsct-19335","DOIUrl":"https://doi.org/10.48175/ijarsct-19335","url":null,"abstract":"The housing rental market faces several challenges, including numerous landlords, arbitrary charges, and false rental information, making it difficult for the government to monitor and regulate the rental situation effectively. To address these issues, this project proposes the creation of a housing leasing alliance chain using blockchain technology based on encryption algorithms. In this system, landlords and tenants sign lease agreements through smart contracts, which establish the lease relationship, automate the regular payment and collection of rent, and return rental rights when due. The alliance chain network incorporates certification department nodes and record management nodes to verify the authenticity of property listings and personal identity information, back up lease contract information, register housing rental situations, and ensure safe leasing practices. This method eliminates the need for intermediaries, reduces costs, and provides clear housing rental information, benefiting government market supervision. The client application system is designed for the public rental market. Landlords can register, log in, and post available rental information, while tenants can search for matching housing resources based on their needs and send requests to the alliance chain network once they have expressed interest. The alliance chain network is responsible for recording transaction information, authenticating property listings and personal identity information, and maintaining on-chain records of leasing situations. The blockchain repository is tamper-proof and traceable, aiding in the resolution of disputes related to housing leases, such as accommodation issues and lease priorities. The Home Rental System is particularly advantageous for property owners as it saves time by only connecting them with eligible tenants, eliminating the need for verbal explanations of room details. It is best suited for urban areas, allowing customers to easily search for suitable properties based on their budget and occupancy limits.","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"1 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141921082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"From Manual to Automated: Transforming Attendance Systems with Face Recognition Technology","authors":"Chethan R, Prajwal Kati, Rohith, Roopesh, Sowjanya","doi":"10.48175/ijarsct-19332","DOIUrl":"https://doi.org/10.48175/ijarsct-19332","url":null,"abstract":"In this paper, the development of attendance systems from conventional options to technology-based solutions involving face recognition is reviewed. On manual level, the above case will obviously be very much inefficient and a lot of inaccuracies going to associate with the Data Entry for Attendance which makes it more obvious about its Transformation from Paper-Based Manage Manual System to Evolving with Online Platform, A paper-free, extremely streamlined form & consolidated authenticity. Face recognition technology significantly reduces the possibility of fraud and errors by 1) identifying people accurately using an advanced image processing, machine learning algorithms, thus stopping false or multiple claimers etc. The results of the study present a model-based comparison and explore how face recognition can be implemented into attendance systems, discussing operational benefits to organizations as well as usability improvements for the end user. It also raised concerns about privacy and securing the data robustness. The paper uses detailed analysis and case studies to show that face recognition technology has the ability to change attendance management be it educational sector or corporate, ushering in a host of new applications in identity verification and security","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141920706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Oliva Mary Fernandes, Nisha, Omkar Naik, Pavan Kumar, Dr. Pradeep V
{"title":"Quantum Computers and their Application in Future Era","authors":"Oliva Mary Fernandes, Nisha, Omkar Naik, Pavan Kumar, Dr. Pradeep V","doi":"10.48175/ijarsct-19331","DOIUrl":"https://doi.org/10.48175/ijarsct-19331","url":null,"abstract":"In the realm of computational paradigms, quantum computing stands as the harbinger of an unprecedented era, promising to redefine the limits of problem-solving and data processing. Harnessing the principles of quantum mechanics, these machines leverage quantum bits (qubits) to perform calculations that defy the capabilities of classical computers. This review explores the transformative potential of quantum computers across various domains, from cryptography to material science, envisioning a future where complex simulations and optimizations once deemed impractical become routine. As quantum supremacy edges closer, this technology not only challenges the frontiers of computing but also beckons a new age of innovation and discovery","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"6 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141920023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"24 X 7 Services","authors":"Karnnan S, Saranya. R. B, Harikrishnan S R","doi":"10.48175/ijarsct-19329","DOIUrl":"https://doi.org/10.48175/ijarsct-19329","url":null,"abstract":"24x7 Service is a web portal used for essential needs of an individual in a locality. It may be a panchayat or any local body. The main concept of this portal is to provide a platform for any individual to fulfill their daily needs. This includes all emergency contacts like ambulance, fire force, taxi, police etc. and other contacts. This project also includes household workers like plumber, carpenter, electrician, coconut plucker etc. The project entitled “24x7 Service” is a website use full for common people. The common people can easily get the Labors for different works and information from this system. This system is mainly focused on the labor service for different works. The website provides different types of Labors for different works in the daily life of common people for their household needs. The service provider can register in the site and add their labor details. The user can easily access the site and booking Labors for their work. User can also request to the site admin to provide labors for a specific works. The user can send mail to the admin to the report of their work. Now a day the system is would be beneficial to the common people, because the common people cannot get Labors for their household works. This Website is being builds for avoiding the lack of Labors service to the society. So, the system would be beneficial to the common people and Labors.","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"9 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141920522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mr. Mounesh A, Mr. Jishnu Raj V K, Mr. Manoj, Ms. Jahnavi G A, Ms. Mahalakshmi
{"title":"A Review on Artificial Intelligence in Medicine","authors":"Mr. Mounesh A, Mr. Jishnu Raj V K, Mr. Manoj, Ms. Jahnavi G A, Ms. Mahalakshmi","doi":"10.48175/ijarsct-19338","DOIUrl":"https://doi.org/10.48175/ijarsct-19338","url":null,"abstract":"Artificial intelligence (AI) has become increasingly prevalent in the field of medicine, offering transformative potential in healthcare delivery, diagnosis, and treatment. This paper provides an overview of AI applications in medicine, focusing on machine learning (ML) algorithms, natural language processing (NLP) techniques, and robotics. It discusses the challenges and opportunities of AI in improving patient outcomes, enhancing clinical decision-making, and optimizing healthcare operations. Additionally, it explores ethical considerations, such as patient privacy and algorithmic bias, and highlights the importance of interdisciplinary collaboration between healthcare professionals and AI experts. Overall, AI has the potential to revolutionize healthcare by augmenting human capabilities, improving efficiency, and advancing personalized medicine","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"17 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141920542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pranam J, Prapthi D Poonja, Pratha Shetty, Preetham Shetty, Mr. Naveen G
{"title":"Advancement in Home Health Monitoring the Role of Modern AI Technologies","authors":"Pranam J, Prapthi D Poonja, Pratha Shetty, Preetham Shetty, Mr. Naveen G","doi":"10.48175/ijarsct-19337","DOIUrl":"https://doi.org/10.48175/ijarsct-19337","url":null,"abstract":"Modern AI technologies have profoundly influenced the evolution of home monitoring systems, moving beyond traditional surveillance to establish intelligent, adaptive environments. This paper investigates the forefront advancements in home monitoring driven by AI, concentrating on the integration of machine learning algorithms, natural language processing, and computer vision. By harnessing AI's capability to analyze realtime data, predict behavioral patterns, and automate responses, these systems deliver unparalleled levels of security, convenience, and personalization. We examine innovative applications such as context-aware adaptive security systems, predictive maintenance for home appliances, and interactive virtual assistants that understand and anticipate user needs. This abstract underscores AI's transformative potential in developing not merely reactive but proactive home environments, where monitoring systems evolve from passive observers to active participants in household management. The discussion highlights distinctive contributions from AI research that are establishing new benchmarks for home automation and personal security, paving the way for a future where homes are not only monitored but intelligently managed","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"5 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141920926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Study on Public Perception of Youngsters Crime or Juvenile Delinquency","authors":"S. Harish, Prasanth. S, K. R. Gunasekaran","doi":"10.48175/ijetir-1304","DOIUrl":"https://doi.org/10.48175/ijetir-1304","url":null,"abstract":"Public opinion survey of youth crime and justice was conducted with a sample of 170 people in India . Gender and age differences in estimations of youth crime were compared to official and self-reported youth offending statistics nationally and locally. Attitudes to sentencing and preventative measures were evaluated with reference to Swansea’s positive, inclusionary approach to young people. Findings indicate that the Indian public overestimates the extent of youth crime locally, yet it remains ambivalent about appropriate sentencing responses, favouring both punitive and preventive measures. This suggests that local public opinion is shaped by national media and political rhetoric, rather than the local realities of youth offending","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"14 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141921000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dr. Rachana, Utkarsha Sadalage, Vismay, Yashodha Raju Devadiga
{"title":"Advanced Robotics","authors":"Dr. Rachana, Utkarsha Sadalage, Vismay, Yashodha Raju Devadiga","doi":"10.48175/ijarsct-19330","DOIUrl":"https://doi.org/10.48175/ijarsct-19330","url":null,"abstract":"This paper seeks to discuss the effects caused by robotics and artificial intelligence (RI) on consumers as well as firms to reveal the pros and cons of the applications. Therefore, through discussion of the current trends in the usage of these technologies, their future deployment and case studies the paper seeks to establish how these technologies are changing various fields, with a special emphasis on manufacturing, health care, as well as the food industry. Introducing Industry 4.0 knowledge in the process of producing and developing advanced robotics. The 0 principles include improving pick and pack operations and transportation, while cloud robotics is opening up vast computation resources and solving questions of how to scale and protect data. However, problems like high production costs, energy consumptions and market competition still remain an obstacle, hence the need for call for application specific robots. In the field of healthcare, robots are making surgical operations more accurate and reviewing the quality of patients’ lives through the application of advanced BMI systems for amputees. These applications of AI in manufacturing are now transforming quality control and predictive maintenance for improving efficiency. Traditional Industrial Automation was characterized by machines replacing the workers in bidding-line work and dangerous operations: the new generation of Collaborative robots, coots, is diminishing advantage by taking dangerous tasks and making humans work smarter. smooth interface between man and machine is still an ideal, and future developments of robots strive to create the natural one.However, safety measures as well as scalability issues remain an obstacle; therefore, the need for robotics is anticipated to rise with the incorporation of AI & ML. The following review gives an extensive study of the strengths and weaknesses of the robotics industry and the possibility of growth and development of robotics and AI in different fields","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"22 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141920440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Priyanka S T, Pradeep Nayak, Punnyashree K N, Ranjitha M, Ravi Kumar
{"title":"A Review on Comparative Study on Two Algorithms of Data De-duplication","authors":"Priyanka S T, Pradeep Nayak, Punnyashree K N, Ranjitha M, Ravi Kumar","doi":"10.48175/ijarsct-19324","DOIUrl":"https://doi.org/10.48175/ijarsct-19324","url":null,"abstract":"The process of identifying and eliminating duplicate data copies in order to improve speed and free up storage space is known as deduplication. In deduplication, duplicates are replaced by references to the one instance of each unique piece of information that was originally stored. This is especially helpful for backup systems, which frequently store numerous copies of the same data. It saves expenses, minimizes the quantity of storage required, and enhances data management. Conversely, deduplication improves performance by reducing footprint sizes and the amount of data processed or sent [1][2].","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"11 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141921223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"RP-HPLC Method Development and Validation for Analysis of Voglibose and Linagliptinin Tablet Dosage Form","authors":"Poonam Suresh Deshpande, Bagnawar Ashabai Maruti, Mr Sandeep Audhude","doi":"10.48175/ijarsct-19326","DOIUrl":"https://doi.org/10.48175/ijarsct-19326","url":null,"abstract":"The development and validation of a reliable RP-HPLC method for the simultaneous analysis of Voglibose and Linagliptin in tablet dosage form are presented. The method ensures precise quantification of both compounds with optimal resolution and reproducibility. Methanol was identified as a suitable solvent for both Voglibose and Linagliptin due to its high solubility properties. A wavelength of 215 nm was selected based on peak absorption intensities for simultaneous determinations. The mobile phase comprised methanol and a 0.1% ortho-phosphoric acid (OPA) buffer solution in a 75:25 v/v ratio, adjusted to pH 4.5. Chromatographic separation was achieved using a Fortis C18 column (4.6 × 100 mm, 2.5 µm particle size) with a flow rate of 0.8 mL/min at ambient temperature. Validation followed ICH guidelines, assessing parameters such as linearity, accuracy, precision, LOD, LOQ, and robustness. Linearity was established over the range of 66-396 µg/mL for Voglibose and 10-60 µg/mL for Linagliptin, with correlation coefficients (R²) of 0.9996 and 0.9995, respectively. Recovery studies indicated mean values within ±2% of the actual value, confirming accuracy. The LOD and LOQ were found to be 2.80 µg/mL and 8.485 µg/mL for Voglibose, and 0.55 µg/mL and 1.674 µg/mL for Linagliptin. The method proved robust against small variations in chromatographic conditions. This validated RP-HPLC method offers a reliable approach for routine analysis of Voglibose and Linagliptin in pharmaceutical formulations, ensuring consistency and compliance with regulatory standards","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"58 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141923229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}