# Roadmap ### Phase One: Checkbox-Text Detector Foundation **Objective:** Establish the foundational technology for checkbox-text extraction, enabling the automated identification and extraction of checkbox data from various document types. **Key Activities:** * Conduct extensive research on existing checkbox detection algorithms, identifying gaps and opportunities for innovation. * Utilize a diverse dataset containing various document types with checkboxes to train the detection model. * Develop an initial prototype of the checkbox-text detection system, integrating image processing techniques. * Conduct rigorous testing of the prototype to evaluate its accuracy and performance metrics. **Expected Outcomes:** * A functional prototype capable of detecting and extracting checkbox data from documents. * Performance metrics demonstrating the accuracy and reliability of the checkbox-text extraction system. ### Phase Two: Launch on Testnet **Objective:** Launch on testnet to validate the Document Understanding Subnet's functionalities in a controlled setting. **Key Activities:** * Set up the necessary infrastructure for the testnet launch. * Launch the checkbox-text detection capabilities and other core features on the testnet. * Engage early adopters and developers to test the subnet, providing feedback and reporting issues. * Collect feedback and make necessary adjustments to enhance functionality and user experience. **Expected Outcomes:** * A fully operational code that allows users to experiment with the Document Understanding Subnet. * Identified areas for improvement and enhanced features based on user feedback. ### Phase Three: Launch on Mainnet **Objective:** Transition the Document Understanding Subnet to the Bittensor mainnet, enabling users to leverage the platform for real-world applications. **Key Activities:** * Register the Document Understanding Subnet on the Bittensor mainnet. * Conduct thorough security audits of the codebase. * Engage the community to encourage participation, including onboarding validators and miners. * Execute extensive testing in the mainnet environment. **Expected Outcomes:** * A fully operational subnet on the Bittensor mainnet. * A growing network of validators and miners, contributing to the security and efficiency of the Document Understanding Subnet. ### Phase Four: Internal OCR Engine Development **Objective:** Develop a high-performance, proprietary OCR engine to enhance text extraction accuracy and processing speed within the Document Understanding Subnet. **Key Activities:** * Design a technical strategy focused on high-accuracy recognition, leveraging deep learning and contextual enhancements. * Incorporate advanced models, such as LayoutLMv3, for interpreting intricate document layouts. * Train the OCR engine using a diverse dataset and rigorously test for performance and accuracy. * Deploy the in-house OCR engine and continuously refine it based on real-world usage and feedback. **Expected Outcomes:** * A state-of-the-art OCR engine integrated into the Document Understanding Subnet, significantly improving text extraction capabilities. * Enhanced performance metrics demonstrating the superiority of our OCR engine compared to existing solutions. ### Phase Five: Feature Expansion **Objective:** Enhance the Document Understanding Subnet by incorporating additional document types and processing features, broadening its applicability and utility. **Key Activities:** * Identify and develop additional document processing features such as support for invoices, receipts, and legal contracts. * Gather feedback from users to inform feature development. * Optimize the infrastructure to handle increased processing demands. * Develop comprehensive documentation and support resources for users. **Expected Outcomes:** * A richer set of features enabling users to process a wider variety of documents. * Improved user satisfaction through ongoing engagement and support. ### Phase Six: User Portal and Public Website **Objective:** Create a user-friendly web-based dashboard to manage document processing tasks and provide resources. **Key Activities:** * Design a centralized resource hub for users to upload documents, track processing status, and view analytics. * Provide access to educational materials and use case examples. * Foster engagement with users through the portal to encourage contributions. **Expected Outcomes:** * A centralized user portal that lowers the barrier to entry for non-technical users and enhances user engagement. ### Phase Seven: API Integration **Objective:** Enable seamless integration of the Document Understanding Subnet with third-party applications through a robust API. **Key Activities:** * Design a well-documented, resilient API built on RESTful principles for easy integration. * Allow users to access core document processing functions, such as data extraction and classification. * Support customization options for specific business requirements. * Ensure the API supports near-instantaneous analysis and results. **Expected Outcomes:** * A robust API that facilitates easy integration and enhances the platform's usability. ### Phase Eight: SDK Integration **Objective:** Provide developers with comprehensive SDKs to simplify interaction with the Document Understanding Subnet API. **Key Activities:** * Create SDKs for multiple programming environments, including Python, Java, JavaScript, and .NET. * Ensure SDKs are designed for usability, including sample code and documentation. * Facilitate integration across diverse technology stacks. * Encourage community contributions to the SDKs for continuous improvement. **Expected Outcomes:** * Developer-friendly SDKs that promote widespread adoption and reduce integration barriers. ### Phase Nine: Workflow Automation Tools **Objective:** Enable organizations to automate document processing tasks through integration with popular workflow automation platforms. **Key Activities:** * Integrate with leading automation platforms to trigger document processing based on specific events. * Streamline operations to minimize manual intervention. **Expected Outcomes:** * Enhanced productivity and scalability for organizations through automated document processing. ### Phase Ten: Innovation and Sustainability **Objective:** Focus on continuous innovation and adaptability to ensure the Document Understanding Subnet remains competitive and sustainable in the evolving landscape of document processing technologies. **Key Activities:** * Establish dedicated research teams to explore emerging technologies. * Implement environmentally sustainable practices within the network. * Forge strategic partnerships with academic institutions, industry leaders, and technology providers. * Commit to regular updates and enhancements of the platform. **Expected Outcomes:** * A resilient and adaptive Document Understanding Subnet that thrives amidst technological changes and market demands. * A strong reputation within the industry as a leading provider of document understanding solutions.