Development of an EDMS with AI integration Sharepoint Online CoPilot -- 2

Potential bidders: Mandatory to provide a link to previous EDMS projects you have completed with similar requirements. Refer to the attached software specification for all mandatory requirements Development of an EDMS with AI integration This specification outlines the requirements for developing an enterprise document management system (EDMS) with AI integration and Bing search capabilities. The EDMS will provide a centralized platform for storing, organizing, retrieving, and managing all enterprise documents efficiently. 2. Goals Automate document processing and categorization using AI. Enhance document search capabilities through Bing integration. Improve information accessibility and collaboration across the organization. Reduce administrative tasks associated with document management. Enhance document security and compliance. 3. Functional Requirements Document Ingestion: Support various document formats (e.g., PDF, Word, Excel, image). Automatic document import from various sources (e.g., email, scanner, file systems). Manual document upload with metadata tagging. Document Processing: Automatic text extraction using Optical Character Recognition (OCR). Content analysis and keyword identification using Natural Language Processing (NLP). Document classification and categorization based on content and metadata. Document Storage: Secure document storage with access control and audit trails. Version control to manage revisions and track changes. Searchable document repository with full-text indexing. Document Search: Advanced search functionality by keywords, metadata, and contextual information. Integration with Bing search to leverage its advanced search capabilities. Faceted search and filtering options for precise results. Document Collaboration: Real-time document sharing and collaborative editing. Annotation and commenting features for feedback and discussion. Version control and rollback functionality to maintain document integrity. Document Security: Role-based access control to restrict document access and editing permissions. Encrypted document storage and transmission for data protection. Secure user authentication and authorization protocols. AI Integration: AI-powered document analysis for insights and recommendations. Automated document summarization for quick information access. Intelligent search suggestions based on user context and past behavior. Reporting and Analytics: Comprehensive reporting on document usage, access, and collaboration activities. Customizable dashboards for visualizing key performance indicators (KPIs). Insights into document trends and user behavior for informed decision-making. 4. Non-Functional Requirements Scalability: The system should be scalable to accommodate the growing volume of documents and users. Performance: The system should provide fast response times for document search and retrieval operations. Availability: The system should be highly available with minimal downtime. Security: The system should comply with industry-standard security protocols and regulations. User Interface: The user interface should be user-friendly, intuitive, and accessible to users with varying levels of technical expertise. Integrations: The system should integrate seamlessly with existing enterprise applications and services. 5. Technology Stack Programming languages: Python, Java, JavaScript Frameworks: Django, Spring Boot, React Databases: SQL Server SharePoint MySQL, PostgreSQL, Elasticsearch AI libraries: TensorFlow, PyTorch, scikit-learn Search Engine: Bing Search APIs 6. Deployment and Maintenance Cloud-based deployment for scalability and accessibility. Continuous integration and continuous delivery (CI/CD) pipeline for automated updates. Comprehensive monitoring and logging for system health and performance. Regular maintenance and security updates to ensure system stability. 7. Success Metrics Increased document accessibility and utilization. Reduced time spent searching for information. Improved document collaboration and communication. Enhanced decision-making through data-driven insights. Increased user satisfaction and productivity.