SIH26023Software
AI-Powered Geological, Mining and other Reporting Solution for CMPDI/CIL subsidiaries
Ministry of Coal
Official Description
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.
Official Hackathon Facts
Theme / DomainMiscellaneous
Track TrackSoftware
Submission Deadline20 September 2026
Ideas Registered0/500
✨ SIH Fit Analysis
Estimated DifficultyIntermediate
Social Impact Score (3/5)
N/A
Primary Tech AreaAI-based Prediction / Recommendation
Technology Stack Tags
AI/MLRecommendation Systems
Suggested Skills
PythonRecommendation / ranking methods
✦ Why This Problem is Interesting
A domain-focused engineering problem where the solution approach should be driven by the requirements described in the official problem statement.
* Note: SIH Fit Analysis contains derived ratings and classification schemas generated to aid team selection; these are not official ratings from the Smart India Hackathon organizers.
