Digiscripter

Pioneered by Skillanto Pvt. Ltd.

Skillanto Pvt. Ltd., an innovative leader in the IT industry based in Bhubaneswar, India, proudly presents Digiscripter – a cutting-edge AI and ML-powered solution designed to restore, enhance, and digitize historical palm leaf manuscripts based on AI & ML Based Odia Language Accelerator (OLA). By utilizing Convolutional Neural Networks (CNN) and Large Language Models (LLM), OLA offers a robust method for extracting and preserving Odia text from centuries-old, often damaged, palm leaf manuscripts. The technology revolutionizes palm leaf restoration by not only removing background noise but also binarizing images for clearer analysis and further research.

Introduction to Skillanto Pvt. Ltd. & C.V. Raman Global University, Bhubaneswar

  • Skillanto Pvt. Ltd., based in Bhubaneswar, is a pioneering Information & Technology company focused on bringing AI-driven solutions to various sectors. In collaboration with the Department of Computer Science at C.V. Raman Global University, Skillanto is working to bridge the gap between heritage preservation and modern AI technology.
  • C.V. Raman Global University is a premier institution located in Bhubaneswar, recognized for its contributions to education and research. With its strong focus on AI, Machine Learning, and digitization projects, the university plays a pivotal role in the development of the OLA project.
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Objective of Digiscripter

  • The primary goal of Digiscripter is to digitize and restore Odia palm leaf manuscripts that are deteriorating due to issues such as water damage, termite infestations, and fading ink. By harnessing the power of AI and ML technologies, this product aims to:
  • Automate Detection and Binarization: Effortlessly identify, binarize, and enhance Odia characters from palm leaf manuscripts.
  • Restore Damaged Text: Transform mutilated or degraded text into a clear, readable format for easier access and study.
  • Digitally Preserve Cultural Heritage: Ensure the long-term preservation of Odia cultural heritage for research and scholarly analysis.
  • Provide Character and Word Analytics: Deliver insights through analytics and frequency tracking of characters and words, enhancing understanding of the manuscripts.

System Requirements and Resources

  • To effectively use this software product, the following inputs and resources are needed:

  • Hardware:

    A laptop with a webcam or a Raspberry Pi device.

  • Software:

    Machine learning algorithms for noise reduction, segmentation, and text recognition.
    Python-based libraries for image processing.

  • Steps Involved in Producing the Output

    • Input Raw Manuscript: The process begins with uploading a raw image of an Odia palm leaf manuscript into the system.
    • Noise Reduction: Machine learning algorithms are employed to remove background noise and any damage present in the image, enhancing clarity.
    • Segmentation:The manuscript is divided into different sections based on its structural layout, facilitating focused analysis.
    • Feature Extraction: Key features, such as edges and text density, are extracted from the palm leaf to prepare for further processing.
    • Image Processing:: Convolutional Neural Networks (CNNs) are used to process the palm leaf manuscript, improving its overall quality.
    • Character Recognition:Individual characters are identified, and binarization is applied to convert them into a readable text format.
    • LLM Integration: The binarized image is then passed to the Large Language Model (LLM) for advanced language processing, document extraction, and character analysis.
    • Final Output: The system generates structured, readable text along with analytics on Odia characters, words, and their frequency, providing valuable insights into the manuscript's content.
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Odisha Government Initiatives in Manuscript Restoration

  • The Odisha Government has been actively involved in preserving the state’s rich cultural heritage, especially focusing on the restoration and digitization of ancient manuscripts. Several key initiatives reflect their commitment to safeguarding these invaluable texts:
    • Odisha State Museum Manuscript Mission: The Odisha State Museum holds a vast collection of palm leaf manuscripts. The government has supported efforts to catalog, preserve, and restore these manuscripts using both traditional methods and modern technologies.
    • Digital Preservation Projects: The Odisha government has initiated collaborations with various universities, cultural institutions, and technology partners to digitize old manuscripts. This ensures that even fragile, deteriorated texts are available in digital formats for future generations.
    • Odisha Virtual Academy: The academy focuses on digitizing Odia literary works, including manuscripts. The virtual platform makes ancient texts more accessible to researchers, scholars, and the public.
    • Odisha State Archives:Efforts have been made to restore historical documents and manuscripts, employing both manual restoration and advanced techniques like digital scanning.
    • National Manuscripts Mission (NMM): The government collaborates with the NMM under the Ministry of Culture, which aims to document and preserve manuscripts across India, with Odisha as an important hub for palm leaf texts.

    These initiatives aim to not only preserve the manuscripts but also make them accessible globally through digitization, aligning with Skillanto's mission to restore and binarize these ancient texts using AI technologies like Digiscripter.

Future Expansion and Scope of Digiscripter.

  • Binarization of Ancient Inscriptions: This technology can be adapted to restore and digitize ancient carvings and rock inscriptions from the Stone Age and other historical periods.
  • Multi-Language Script Digitization: The system’s capabilities can be expanded to support other languages, such as Devanagari, enabling the preservation of diverse cultural manuscripts.
  • Carved Wood Script Restoration: Digiscripter can be modified to digitize texts carved on wood or other durable surfaces, broadening its scope to include various forms of script preservation.

Patent Filing Status

  • This product is a groundbreaking collaboration between Skillanto Pvt. Ltd. and C.V. Raman Global University, with the patent filing currently in progress. It aims to provide a unique AI-driven solution for the preservation of cultural heritage, setting a new standard in manuscript restoration and digitization.

Commercial Inquiries

If you're interested in exploring commercial opportunities or learning more about our innovative products like Digiscripter, Skillanto Pvt. Ltd. is here to assist you. Here’s how you can reach out:

  • Website:Visit us at www.skillanto.com for more information about our services and offerings.
  • Email:For inquiries, please email us at info@skillantotech.com. Our team will respond promptly to your questions.
  • Phone:You can contact us directly at +91 97407 71630 for immediate assistance.
  • Contact Person:For specific inquiries related to Digiscripter and other products, please reach out to Mr. Surjit R. He will be happy to provide you with the necessary information and support.
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