Background
CMPDI/CIL subsidiaries play a key role in providing geological and mining information to the Ministry of Coal and responding to parliamentary and high-priority administrative inquiries. These reports require compilation of data from scanned PDFs, digital documents, spreadsheets, images, and historical archives. The current workflow is largely manual, resulting in:
• High dependence on individual expertise • Delay in generating reports and analytics • Higher probability of manual errors • Limited ability to quickly retrieve insights when required Objectives: • Deploy an automated platform for AI-assisted geological, mining and any other production figures document processing and reporting. • Enhance data validation, consistency, and traceability across historical and contemporary datasets. • Build an efficient, scalable foundation for future digital transformation initiatives within each CIL subsidiary and the Ministry of Coal.
Desired Outcomes: The solution should be implemented in structured phases, including requirement analysis, data digitization and pre-processing, platform development, system testing, integration with CIL subsidiary workflows, training, and continuous enhancement to ensure scalability and long-term adoption.
1. Automated Report Generation Platform 2. Automated Word Cloud and Topic Identification Module 3. AI-Based Query and Response System Expected Benefits:
• Reduction in report preparation time as less as it can be, quantified in percentage. • Maximum accuracy, calculated in percentage in structured extraction and report generation. • Maximum automation, calculated in percentage of repetitive reporting and response workflows. • Faster response to high-level inquiries and parliamentary questions • Improved data accessibility, transparency, and standardization • Strengthened operational efficiency and informed decision-making using historical insights and AI-generated recommendations Impact:
The proposed system should significantly modernize CMPDI/CIL subsidiaries reporting ecosystem, reduce dependency on manual processes, improve response timelines, and strengthen the coal sector’s capability to support governance, policy planning, and operational excellence.