AI-Powered Geological, Mining and other Reporting Solution for CMPDI/CIL subsidiaries

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.