1) The document describes the development of an e-commerce website that uses augmented reality (AR) technology. This allows customers to virtually try on products from home using their smartphone cameras and AR features.
2) A mediapipe holistic model is used for body detection and landmark identification. This model identifies more landmarks than openpose, increasing detection accuracy.
3) The website allows customers to select a product, access an AR view using their camera, and see a virtual rendering of the product overlaid on their body using detected landmarks. This helps customers make selection decisions without visiting a physical store.
MAGE PROCESSING BASED BILLING STRUCTURE USING EDGE COMPUTING AND REACTJSIRJET Journal
This document summarizes a research paper that proposes an image processing-based billing system using edge computing. The system uses a machine learning model trained on images of products to identify products captured by a smartphone camera. When a product's image is taken, the model identifies it and adds it to the bill. The system was developed as a responsive web application. It aims to provide a more accurate and automated billing solution for small shops compared to manual billing. The model was trained on Google Collab and achieves 90% accuracy in identifying different sizes of the same product.
IRJET - Visual E-Commerce Application using Deep LearningIRJET Journal
This document discusses developing a visual e-commerce application using deep learning for object recognition. It proposes a system with three phases: 1) scanning real-time objects using an Android app and YOLO algorithm for object detection, 2) detecting the objects, and 3) recommending similar products to the user. The goal is to make e-commerce searching more user-friendly by allowing image-based searches rather than relying solely on text. This could help illiterate users and improve the shopping experience overall. The document reviews related work on object recognition techniques and visual search engines to provide context.
This document summarizes a research paper that developed a virtual interior decorating app using markerless augmented reality. The app allows users to visualize how different furniture items would look in their home by projecting 3D models of furniture into the user's environment. This helps users make informed purchasing decisions. The app was created using ARCore to enable markerless augmented reality tracking and placement of virtual objects. The research paper also reviews several related works that used augmented reality for interior design applications and virtual prototyping. Developing this interior decor app aimed to help users design home interiors remotely without physically visiting stores during the COVID-19 pandemic.
Development of Virtual Trial Rooms for ShowroomsIRJET Journal
This document describes research on developing a virtual trial room for clothing showrooms using augmented reality. It discusses how virtual trial rooms can streamline the shopping process by allowing customers to virtually try on different clothes and accessories without needing to use a physical changing room. The proposed system uses computer vision techniques like OpenCV, RGB normalization, and Haar cascade classifiers to detect a user's face in real-time video and overlay virtual clothing items onto the user's body. Evaluation of the system showed it was able to accurately display selected products and allow virtual trying on of different clothes and accessories. The technology has applications for both customers trying items as well as fashion designers prototyping new designs.
Develop Communication using Virtual Reality and Machine LearningIRJET Journal
This document summarizes a research paper that proposes using virtual reality and machine learning to develop communication skills. It describes building a website that allows users to practice public speaking in virtual reality environments. Users can record speeches that are analyzed by machine learning models to detect emotion and accuracy when compared to a sample text. The models provide feedback to help users monitor and improve their communication abilities. The goal is to enhance users' confidence through an interactive practice platform.
IRJET - Augmented Reality: Social Profile Detection by Face RecognitionIRJET Journal
This document discusses using augmented reality and face recognition techniques to display a person's social media profile by analyzing their face. It proposes combining AR and face recognition by developing a device that can recognize a person's social status from their face in a crowd. The document reviews related works using AR for product promotion, education, and shopping applications. It describes existing face recognition and AR display methods, and algorithms like Eigenface and Haar cascade SVM classifier that can be used. The aim is to enhance interaction between users and technology, with applications in criminal detection, disaster management, education and more.
A case study on Adstuck's Augmented Reality ventures (Amity University) by Pa...Dr Ritesh Malik
This document is a minor project report on augmented reality in the context of Adstuck, an Indian advertising company. It includes sections on the company profile of Adstuck, research methodology used in the project, findings on the technology behind various augmented reality apps and concepts developed by Adstuck, an analysis and SWOT analysis of augmented reality applications in different industries. The report was submitted in partial fulfillment of an MBA degree and includes standard elements like a declaration, acknowledgements, table of contents and figures.
Survey Paper on Various Approaches for an AR based Object DetectorIRJET Journal
This document discusses using augmented reality to improve the jewelry shopping experience. It proposes developing an AR application that allows users to virtually try on rings, bracelets, and watches using their smartphone cameras. This allows users to see what jewelry items would look like on them before purchasing. The application would use object detection and 3D modeling to place digital jewelry onto the user's hands in real time. The document reviews several previous studies on using AR for virtual jewelry try-ons and customized diamond shopping. It outlines the goals of providing a virtual jewelry experience without an actual purchase and discusses potential modules for scanning catalog images, retrieving 3D models from a database, and placing the models onto the user's hands in AR.
MAGE PROCESSING BASED BILLING STRUCTURE USING EDGE COMPUTING AND REACTJSIRJET Journal
This document summarizes a research paper that proposes an image processing-based billing system using edge computing. The system uses a machine learning model trained on images of products to identify products captured by a smartphone camera. When a product's image is taken, the model identifies it and adds it to the bill. The system was developed as a responsive web application. It aims to provide a more accurate and automated billing solution for small shops compared to manual billing. The model was trained on Google Collab and achieves 90% accuracy in identifying different sizes of the same product.
IRJET - Visual E-Commerce Application using Deep LearningIRJET Journal
This document discusses developing a visual e-commerce application using deep learning for object recognition. It proposes a system with three phases: 1) scanning real-time objects using an Android app and YOLO algorithm for object detection, 2) detecting the objects, and 3) recommending similar products to the user. The goal is to make e-commerce searching more user-friendly by allowing image-based searches rather than relying solely on text. This could help illiterate users and improve the shopping experience overall. The document reviews related work on object recognition techniques and visual search engines to provide context.
This document summarizes a research paper that developed a virtual interior decorating app using markerless augmented reality. The app allows users to visualize how different furniture items would look in their home by projecting 3D models of furniture into the user's environment. This helps users make informed purchasing decisions. The app was created using ARCore to enable markerless augmented reality tracking and placement of virtual objects. The research paper also reviews several related works that used augmented reality for interior design applications and virtual prototyping. Developing this interior decor app aimed to help users design home interiors remotely without physically visiting stores during the COVID-19 pandemic.
Development of Virtual Trial Rooms for ShowroomsIRJET Journal
This document describes research on developing a virtual trial room for clothing showrooms using augmented reality. It discusses how virtual trial rooms can streamline the shopping process by allowing customers to virtually try on different clothes and accessories without needing to use a physical changing room. The proposed system uses computer vision techniques like OpenCV, RGB normalization, and Haar cascade classifiers to detect a user's face in real-time video and overlay virtual clothing items onto the user's body. Evaluation of the system showed it was able to accurately display selected products and allow virtual trying on of different clothes and accessories. The technology has applications for both customers trying items as well as fashion designers prototyping new designs.
Develop Communication using Virtual Reality and Machine LearningIRJET Journal
This document summarizes a research paper that proposes using virtual reality and machine learning to develop communication skills. It describes building a website that allows users to practice public speaking in virtual reality environments. Users can record speeches that are analyzed by machine learning models to detect emotion and accuracy when compared to a sample text. The models provide feedback to help users monitor and improve their communication abilities. The goal is to enhance users' confidence through an interactive practice platform.
IRJET - Augmented Reality: Social Profile Detection by Face RecognitionIRJET Journal
This document discusses using augmented reality and face recognition techniques to display a person's social media profile by analyzing their face. It proposes combining AR and face recognition by developing a device that can recognize a person's social status from their face in a crowd. The document reviews related works using AR for product promotion, education, and shopping applications. It describes existing face recognition and AR display methods, and algorithms like Eigenface and Haar cascade SVM classifier that can be used. The aim is to enhance interaction between users and technology, with applications in criminal detection, disaster management, education and more.
A case study on Adstuck's Augmented Reality ventures (Amity University) by Pa...Dr Ritesh Malik
This document is a minor project report on augmented reality in the context of Adstuck, an Indian advertising company. It includes sections on the company profile of Adstuck, research methodology used in the project, findings on the technology behind various augmented reality apps and concepts developed by Adstuck, an analysis and SWOT analysis of augmented reality applications in different industries. The report was submitted in partial fulfillment of an MBA degree and includes standard elements like a declaration, acknowledgements, table of contents and figures.
Survey Paper on Various Approaches for an AR based Object DetectorIRJET Journal
This document discusses using augmented reality to improve the jewelry shopping experience. It proposes developing an AR application that allows users to virtually try on rings, bracelets, and watches using their smartphone cameras. This allows users to see what jewelry items would look like on them before purchasing. The application would use object detection and 3D modeling to place digital jewelry onto the user's hands in real time. The document reviews several previous studies on using AR for virtual jewelry try-ons and customized diamond shopping. It outlines the goals of providing a virtual jewelry experience without an actual purchase and discusses potential modules for scanning catalog images, retrieving 3D models from a database, and placing the models onto the user's hands in AR.
IRJET- Data Visualization using Augmented RealityIRJET Journal
This document summarizes a research paper on using augmented reality for data visualization. It discusses how augmented reality can provide a 3D view of machines in an industry by overlaying 3D models onto the camera view. Sensors collect real-time machine data that is stored in a cloud database. When users view machines through their device camera, they can see status information by clicking on the overlaid 3D models. The document also discusses challenges like hardware limitations, information filtering, and tracking accuracy that must be addressed for practical augmented reality applications.
How effective is Swift’s AR technology in developing.pdfMindfire LLC
Swift has tremendous potential to transform businesses by revolutionizing user lifestyles through engaging and riveting AR experiences. The above benefits highlight how Swift empowers the developers to create stable, secure, and high-performance AR application. With the demonstrated success of various AR games, creative design solutions, and e-commerce apps, Swift is the first choice for any custom AR application development for Apple products.
IRJET- A Survey on Technologies used in Mall AssistantIRJET Journal
The document discusses technologies used in developing mall assistants, including chatbots, indoor navigation, artificial intelligence, and machine learning. It surveys recent research on applications and devices that provide services like chatbots for information, indoor navigation through technologies like augmented reality and NFC tags, and automated bill generation and payment. The goal of mall assistants is to enhance the customer shopping experience and increase store profits through personalized services and business intelligence.
Development of Android Based Mobile App for PrestaShop eCommerce Shopping Ca...IRJET Journal
This document summarizes the development of an Android mobile app that is integrated with an existing PrestaShop eCommerce website. The app allows customers to shop online from their Android devices. The app connects to the PrestaShop website's MySQL database to share product and user account information. Application-level caching was implemented to improve performance by reducing response times when fetching frequently requested data from the server. The caching stores objects in memory to return to requesting processes if the data is present, otherwise requesting it from the application server. This integration of an eCommerce app with an existing website using application-level caching aimed to improve the online shopping experience for customers on Android devices.
This document discusses using augmented reality (AR) in medical education. It begins by defining AR and how it can integrate virtual objects into real environments in real-time. The document then discusses how AR provides remote learning and interactive simulations, making it well-suited for medical education. It provides examples of AR being adopted by medical schools worldwide. The rest of the document details the proposed development of a "Smart Education App" using AR to enhance medical training in an affordable way. It describes the implementation process and tools used, including marker-based recognition, 3D tracking, and integration with Unity.
This document discusses augmented reality (AR) and its applications in manufacturing. It begins with an introduction to AR, describing it as a method of altering the real world by adding digital elements. It then covers the main types of AR: marker-based, markerless, projection-based, and superimposition-based. Applications of AR in manufacturing include using it to aid assembly, maintenance, training, quality assurance, and design. Boeing, Mitsubishi Electric, Lockheed Martin, Porsche, and Ford are highlighted as companies employing AR in their manufacturing processes. The document concludes that AR can help make manufacturing more efficient and reduce costs.
A ‘white paper’ overview by Dr Mike Hobbs, Visiting research fellow, CEMP, Bournemouth University and Professor Debbie Holley, CEMP and Department of Nursing Sciences Bournemouth University
This briefing paper outlines and summarises recent developments in the context and range of technologies for delivering Augmented Reality (AR). We share some of the uses of the products and examples of applications in social, commercial, medical and educational applications; but make no claim as to this being a full inventory. The work can be read as an independent document or as an extended commentary providing more detail to support the Augmented Reality for Education article in the Encyclopaedia of Educational Innovation (Holley, Hobbs 2020) and the Augmented Reality and Learning Innovation presentation at Edutech 2021 (Holley 2021).
The document describes the design and development of an interactive fashion mirror. The mirror is powered by a Raspberry Pi microcontroller and displays information on a used computer monitor. It allows users to view themselves, access daily information like weather and schedules, try on virtual outfits, and control smart home appliances using voice commands. The project was developed in phases including design, programming, fabrication, and adding automation capabilities. It aims to make trying on clothes and getting feedback more efficient. The mirror provides a user-friendly interface and could help improve the shopping experience.
This certificate from Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. certifies that a research paper titled "A Review on Virtual Dressing Room for E-Shopping using Augmented Reality" by Aleeza Shaikh, Prashant Shinde, Swapnil Chandra, Sandeep Singh, and Rubeena Khan was published in the International Journal of Soft Computing and Engineering in November 2014. The journal has an impact factor of 1.177. The certificate provides contact information for the journal.
Mobile & Cloud Labs provides mobile and cloud application development services using a hybrid development model. They have expertise in iOS and Android development as well as complementary web applications. Their portfolio includes apps for sports analytics, music collaboration, child transportation, e-commerce, astrology, pastry discovery in Paris, and more. They also have experience with data analysis, enterprise applications, and building a data virtualization platform.
Mobile & Cloud Labs provides mobile and cloud application development services. They have expertise in iOS and Android development as well as complementary web applications. They use a hybrid development model and a variety of tools and technologies for tasks like prototyping, design, mobile and front end development, and server side development. Their portfolio includes apps for industries like sports, music, transportation, education, and more.
This document describes the design and implementation of a smart interactive mirror interface. The mirror is built using a Raspberry Pi microcontroller and allows for functions like displaying the time, weather, news and responding to voice commands. It provides an interactive interface for home users to access information and services. The proposed smart mirror aims to be a convenient and user-friendly system integrated into a mirror to provide customized and personalized services to users while they get ready. It allows multiple tasks to be displayed simultaneously and tracked user health over time which could be useful for busy individuals.
How can marketing solution companies use AR? REALISE AR Team
REALISE CONNNECT is an Augmented Reality Campaign builder that can be integrated with a CMS of any marketing solutions company. Brands can now launch localised Augmented Reality ad campaigns with ease!
This document describes a proposed voice-controlled e-commerce web application. It begins with an abstract that outlines using voice recognition to make online shopping more accessible. Then, it discusses the objectives of the application, which are to study limitations of existing e-commerce sites and allow full voice control. The proposed system is described as integrating speech recognition services to convert voice inputs to text and vice versa, along with keyword checking to understand commands. This would allow voice control of all shopping tasks rather than just search. The implementation details reducing load on the app by using external speech services and optimizing performance. Future work could include voice authentication and personalized recommendations.
Creation Of Social Group in Full Stack Progressive Apparel Purchasing Web AppIRJET Journal
The document describes the creation of a social group feature in a full stack progressive web app for apparel purchasing. Key features include:
- Ability to connect with friends and see their purchase history and wish lists
- Chat feature to recommend products to one another
- ReactJS, Firebase, and Stripe will be used to build the web application
- Testing will use snapshot testing with Jest and Enzyme to ensure no unexpected changes are introduced
The Future Fashion programme aims to revolutionize the clothing design process through digital tools that enhance creativity for designers and open new markets. It involves projects to develop an intuitive 2D/3D virtual garment designer application, virtual fitting room apps for consumers, and an interaction console connecting designers and consumers. The tools will be tested with fashion colleges and small businesses and aim to improve design efficiency and sustainability while enhancing the consumer experience. An exploitation plan will be created to sustain the research commercially after co-funding ends.
IRJET - Innovative Cart for Smart ShoppingIRJET Journal
This document describes an innovative smart shopping cart application called the "Ingenious Cart" that aims to reduce waiting times for customers at checkout counters. The proposed system uses an Android application where customers can scan product barcodes, add items to a shopping list, view product details and real-time billing. It also includes an administrator system where store employees can manage cashiers. The application is designed to transfer customer purchase details to the cashier, allowing faster checkout. Technologies used include Android Studio, NetBeans, Firebase and MySQL. The system is meant to provide a more efficient shopping experience for customers through barcode scanning and real-time billing updates.
Though we are in 21st century with lots of development in the field of technology and improved phases of
using applications within the reach of our finger tips, the urge towards a novel and better technology for a
life of ease ne'er comes to cease. One such new technology is augmented reality. This is an application where
customers can shop online in the smartest way by trying on different accessories like hats, sunglasses,
necklaces etc just using our mobile camera. This application gives a user-friendly frontal image of face with
no/light makeup and short/bound hair. The Beauty experts system will not only suggest the user suitable
makeup and coiffure, it even shows the synthetic effects.
IRJET - Digital Advertisement using Artificial Intelligence for Data Anal...IRJET Journal
This document describes a digital advertising system that uses artificial intelligence and data analytics. The system collects user browsing data through a supply-side platform and deep packet inspection. It analyzes the data to understand user interests and behaviors. A web crawler collects product information from other websites. The system then recommends advertisements for relevant products to users on other websites based on their browsing history. This provides a more personalized advertising experience that is more effective for marketing. The implemented system aims to automate targeted advertising delivery using machine learning models to analyze user data in real-time and improve over existing systems.
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
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This document summarizes a research paper on using augmented reality for data visualization. It discusses how augmented reality can provide a 3D view of machines in an industry by overlaying 3D models onto the camera view. Sensors collect real-time machine data that is stored in a cloud database. When users view machines through their device camera, they can see status information by clicking on the overlaid 3D models. The document also discusses challenges like hardware limitations, information filtering, and tracking accuracy that must be addressed for practical augmented reality applications.
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This document discusses using augmented reality (AR) in medical education. It begins by defining AR and how it can integrate virtual objects into real environments in real-time. The document then discusses how AR provides remote learning and interactive simulations, making it well-suited for medical education. It provides examples of AR being adopted by medical schools worldwide. The rest of the document details the proposed development of a "Smart Education App" using AR to enhance medical training in an affordable way. It describes the implementation process and tools used, including marker-based recognition, 3D tracking, and integration with Unity.
This document discusses augmented reality (AR) and its applications in manufacturing. It begins with an introduction to AR, describing it as a method of altering the real world by adding digital elements. It then covers the main types of AR: marker-based, markerless, projection-based, and superimposition-based. Applications of AR in manufacturing include using it to aid assembly, maintenance, training, quality assurance, and design. Boeing, Mitsubishi Electric, Lockheed Martin, Porsche, and Ford are highlighted as companies employing AR in their manufacturing processes. The document concludes that AR can help make manufacturing more efficient and reduce costs.
A ‘white paper’ overview by Dr Mike Hobbs, Visiting research fellow, CEMP, Bournemouth University and Professor Debbie Holley, CEMP and Department of Nursing Sciences Bournemouth University
This briefing paper outlines and summarises recent developments in the context and range of technologies for delivering Augmented Reality (AR). We share some of the uses of the products and examples of applications in social, commercial, medical and educational applications; but make no claim as to this being a full inventory. The work can be read as an independent document or as an extended commentary providing more detail to support the Augmented Reality for Education article in the Encyclopaedia of Educational Innovation (Holley, Hobbs 2020) and the Augmented Reality and Learning Innovation presentation at Edutech 2021 (Holley 2021).
The document describes the design and development of an interactive fashion mirror. The mirror is powered by a Raspberry Pi microcontroller and displays information on a used computer monitor. It allows users to view themselves, access daily information like weather and schedules, try on virtual outfits, and control smart home appliances using voice commands. The project was developed in phases including design, programming, fabrication, and adding automation capabilities. It aims to make trying on clothes and getting feedback more efficient. The mirror provides a user-friendly interface and could help improve the shopping experience.
This certificate from Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. certifies that a research paper titled "A Review on Virtual Dressing Room for E-Shopping using Augmented Reality" by Aleeza Shaikh, Prashant Shinde, Swapnil Chandra, Sandeep Singh, and Rubeena Khan was published in the International Journal of Soft Computing and Engineering in November 2014. The journal has an impact factor of 1.177. The certificate provides contact information for the journal.
Mobile & Cloud Labs provides mobile and cloud application development services using a hybrid development model. They have expertise in iOS and Android development as well as complementary web applications. Their portfolio includes apps for sports analytics, music collaboration, child transportation, e-commerce, astrology, pastry discovery in Paris, and more. They also have experience with data analysis, enterprise applications, and building a data virtualization platform.
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This document describes the design and implementation of a smart interactive mirror interface. The mirror is built using a Raspberry Pi microcontroller and allows for functions like displaying the time, weather, news and responding to voice commands. It provides an interactive interface for home users to access information and services. The proposed smart mirror aims to be a convenient and user-friendly system integrated into a mirror to provide customized and personalized services to users while they get ready. It allows multiple tasks to be displayed simultaneously and tracked user health over time which could be useful for busy individuals.
How can marketing solution companies use AR? REALISE AR Team
REALISE CONNNECT is an Augmented Reality Campaign builder that can be integrated with a CMS of any marketing solutions company. Brands can now launch localised Augmented Reality ad campaigns with ease!
This document describes a proposed voice-controlled e-commerce web application. It begins with an abstract that outlines using voice recognition to make online shopping more accessible. Then, it discusses the objectives of the application, which are to study limitations of existing e-commerce sites and allow full voice control. The proposed system is described as integrating speech recognition services to convert voice inputs to text and vice versa, along with keyword checking to understand commands. This would allow voice control of all shopping tasks rather than just search. The implementation details reducing load on the app by using external speech services and optimizing performance. Future work could include voice authentication and personalized recommendations.
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The document describes the creation of a social group feature in a full stack progressive web app for apparel purchasing. Key features include:
- Ability to connect with friends and see their purchase history and wish lists
- Chat feature to recommend products to one another
- ReactJS, Firebase, and Stripe will be used to build the web application
- Testing will use snapshot testing with Jest and Enzyme to ensure no unexpected changes are introduced
The Future Fashion programme aims to revolutionize the clothing design process through digital tools that enhance creativity for designers and open new markets. It involves projects to develop an intuitive 2D/3D virtual garment designer application, virtual fitting room apps for consumers, and an interaction console connecting designers and consumers. The tools will be tested with fashion colleges and small businesses and aim to improve design efficiency and sustainability while enhancing the consumer experience. An exploitation plan will be created to sustain the research commercially after co-funding ends.
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This document describes an innovative smart shopping cart application called the "Ingenious Cart" that aims to reduce waiting times for customers at checkout counters. The proposed system uses an Android application where customers can scan product barcodes, add items to a shopping list, view product details and real-time billing. It also includes an administrator system where store employees can manage cashiers. The application is designed to transfer customer purchase details to the cashier, allowing faster checkout. Technologies used include Android Studio, NetBeans, Firebase and MySQL. The system is meant to provide a more efficient shopping experience for customers through barcode scanning and real-time billing updates.
Though we are in 21st century with lots of development in the field of technology and improved phases of
using applications within the reach of our finger tips, the urge towards a novel and better technology for a
life of ease ne'er comes to cease. One such new technology is augmented reality. This is an application where
customers can shop online in the smartest way by trying on different accessories like hats, sunglasses,
necklaces etc just using our mobile camera. This application gives a user-friendly frontal image of face with
no/light makeup and short/bound hair. The Beauty experts system will not only suggest the user suitable
makeup and coiffure, it even shows the synthetic effects.
IRJET - Digital Advertisement using Artificial Intelligence for Data Anal...IRJET Journal
This document describes a digital advertising system that uses artificial intelligence and data analytics. The system collects user browsing data through a supply-side platform and deep packet inspection. It analyzes the data to understand user interests and behaviors. A web crawler collects product information from other websites. The system then recommends advertisements for relevant products to users on other websites based on their browsing history. This provides a more personalized advertising experience that is more effective for marketing. The implemented system aims to automate targeted advertising delivery using machine learning models to analyze user data in real-time and improve over existing systems.
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1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
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This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
UNLOCKING HEALTHCARE 4.0: NAVIGATING CRITICAL SUCCESS FACTORS FOR EFFECTIVE I...amsjournal
The Fourth Industrial Revolution is transforming industries, including healthcare, by integrating digital,
physical, and biological technologies. This study examines the integration of 4.0 technologies into
healthcare, identifying success factors and challenges through interviews with 70 stakeholders from 33
countries. Healthcare is evolving significantly, with varied objectives across nations aiming to improve
population health. The study explores stakeholders' perceptions on critical success factors, identifying
challenges such as insufficiently trained personnel, organizational silos, and structural barriers to data
exchange. Facilitators for integration include cost reduction initiatives and interoperability policies.
Technologies like IoT, Big Data, AI, Machine Learning, and robotics enhance diagnostics, treatment
precision, and real-time monitoring, reducing errors and optimizing resource utilization. Automation
improves employee satisfaction and patient care, while Blockchain and telemedicine drive cost reductions.
Successful integration requires skilled professionals and supportive policies, promising efficient resource
use, lower error rates, and accelerated processes, leading to optimized global healthcare outcomes.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.