Pioneering AI-driven solutions for mining safety, hazard prediction, inspection automation, and digital transformation — built by researchers at IIT (ISM) Dhanbad, India's premier institute for mining science.
The Mine Digitalization & Artificial Intelligence (MDAI) Lab operates within the Department of Mining Engineering at IIT (ISM) Dhanbad — India's oldest and most prestigious mining institute, established in 1926.
Under the leadership of Dr. Siddhartha Agarwal, and sponsored by Mahanadi Coalfields Limited (MCL), we develop intelligent systems that protect miners, predict hazards, automate inspections, and digitize mine operations end-to-end.
NLP, RAG systems, transformer models, and deep learning tailored for mining domain data
Real-time sensor networks, drone surveys, and digital simulation of mine environments
Data-driven accident analysis, automated inspection, and hazard prediction at scale
Working with Coal India, MCL, SCCL and regulatory bodies to deploy production-grade tools
Dhanbad, Jharkhand · Founded 1926
India's Premier Mining & Technology Institute
NIRF Ranking: Top 30 Engineering
Mahanadi Coalfields Limited funds and supports the MDAI Lab's research initiatives, providing real-world datasets, field access, and industry expertise.
Real tools, real impact — built by our faculty, staff, PhD scholars, and interns for the mining industry.
Mining Accident Analysis & RAG System platform with Hybrid RAG (BM25 + Vector search), automated safety audit report generation, chi-squared association analysis, K-means clustering, and interactive visualizations across 5,000+ incident records.
AI-enabled Mine Inspection system for Health, Safety & Data Analysis. Automates mine inspection workflows, flags regulatory compliance issues, generates structured safety audit trails, and tracks health metrics for mine workers and environments.
Natural Language Processing toolkit for the mining domain — incident report classification, automatic cause extraction from accident narratives, keyword mining from regulatory documents, and semantic search across mine safety literature using transformer models.
Mine GIS Portal · Hazard Prediction Engine · Digital Twin Dashboard · Air Quality Monitor Dashboard
Being built by our research staff, scholars, and interns — stay tuned!
Fieldwork, lab equipment, workshops, and team moments.
More PhD scholars
joining soon
More interns &
MTech students
Open positions
Apply here →
Internships, collaborations, demos, or research queries — we'd love to connect.
Mine Digitalization & Artificial Intelligence Laboratory