Journal of Knowledge in Data Science and Information Management

Automated Invoice Field Detection and Data Extraction Using YOLOv11 and PaddleOCR

2025-05-26T11:21:02+00:00

This study presents an integrated approach for automatically extracting and structuring information from invoices, captured as scanned documents or photographs, by leveraging a combination of object detection and optical character recognition (OCR). The primary objective was to develop a robust and efficient tool capable of accurately identifying and extracting relevant textual data from invoice images. This system minimizes manual data entry, reduces human error, and significantly enhances the speed and reliability of data processing workflows. The methodology involves training a custom object detection model to locate key invoice fields such as invoice number, date, GST details, and itemized amounts, followed by OCR techniques to extract and interpret the text within the detected regions. By combining these technologies, the solution demonstrates the ability to handle a wide range of invoice formats, layouts, and image qualities, ensuring adaptability and resilience across varied real-world scenarios. Despite the heterogeneous nature of the invoice templates used in the dataset, the proposed solution serves as a scalable and extensible framework for document information extraction. It can be seamlessly adapted to support additional document types beyond invoices, such as receipts, purchase orders, and contracts. Furthermore, the architecture is language-agnostic, with the potential to integrate multilingual OCR engines, making it applicable in diverse linguistic and geographic contexts. Overall, this study illustrates a practical and intelligent automation approach that can be employed in Enterprise Resource Planning (ERP), accounting software, and digital archiving systems to streamline document processing pipelines.

World of Words: A One Stop Web-based Application that Empowers Users to Write and Publish Their Work

2025-06-07T11:56:11+00:00

World of Words is an all-encompassing website developed to allow both writers and readers to express their creativity and publish online comfortably. The platform provides users with a rich text editor with modifying tools, autosave, and font flexibility, and it allows the development and sharing of poems, blogs, stories, and novels. World of Words, which places a crucial focus on community and collaboration, offers tools like authors dashboard, user authentication, separate loggings for author and user, responding (likes and comments), enjoying, and collaboration modes that let authors get suggestions without affecting content ownership.

The system consists of innovative capabilities that enhance content quality and visibility, like an offline draft mode, AI-driven plagiarism detection, and SEO optimization suggestions for improvement. Emerging content, featured blogs, and literary works are presented on a dynamic homepage via interactive animations and real-time search functionality. In addition to that, having a page where you can see the top 50 books with two options read and book now associated with search functionalities. A dynamic homepage with two sections trending and latest blogs with 50+ blogs in latest and 20+ in trending for improving user readability.

Exploring the Landscape of the Internet of Things: Innovations, Applications, and Challenges

2025-06-16T09:36:36+00:00

This collection of research papers provides a multifaceted view of the Internet of Things (IoT), exploring its foundational concepts, technological underpinnings, diverse applications, significant challenges, current research trends, and future directions. The vision of IoT involves connecting physical objects to the internet to enable information exchange, leading to innovative services and increased efficiency. Definitions of IoT vary, reflecting perspectives from network and object integration viewpoints across academic and industry communities. The sources collectively highlight a wide spectrum of IoT application areas, including healthcare, environmental monitoring, smart cities, and commercial, industrial, and infrastructural domains. Specific applications discussed range from ecological monitoring and wastewater treatment to industrial automation (Industry 4.0), pervasive computing scenarios, and military/defence systems. Smart cities emerge as a prominent application area, analysed through the lens of IoT-based systems for tasks like video surveillance and air pollution monitoring, and bibliometric studies tracing global research activity and trends. Key technological drivers and architectural aspects of IoT are examined. This includes the layered architecture (network, perception, interface, and service layers) and the interplay of software and hardware components. Various communication technologies enabling IoT are reviewed, such as Wireless Sensor Networks (WSN), particularly important for Industry 4.0 and smart city applications, and advanced connectivity solutions aimed at supporting massive connections, including Compressive Sensing (CS), non-orthogonal multiple access (NOMA), massive Multiple- Input Multiple-Output (mMIMO), and Machine Learning (ML) based random access. Technologies like LPWANs (LoRaWAN, DASH7, NB-IoT), cellular-IoT, and 5G are also relevant.