- Rahul Joshi (Web Dev)
- Rachit Kumar Pandey (n8n)
- Sanjib Behera (RAG)
- Mohammad Abbas Mehdi (Web Dev)
- Shubhomoy Dey (AI/ML)
MineSafe is an AI-driven safety intelligence platform designed to enhance transparency, compliance, and awareness in the mining industry. Our solution automates the monitoring, analysis, and dissemination of critical mining safety data from the Directorate General of Mines Safety (DGMS) and related sources enabling faster response, improved reporting, and informed decision-making.
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Built with n8n, an open-source automation tool.
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Periodically scans DGMS websites for:
- Circulars
- Safety Notifications
- Incident Reports
- Accident Summaries
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Extracted data is cleaned, structured, and stored for downstream AI processing.
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Uses Generative AI to create detailed safety audit reports from raw DGMS data.
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Each report includes:
- Summary of key incidents
- Root cause analysis
- Recommendations & preventive measures
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Reports are auto-published to a centralized dashboard for easy access.
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Web-based dashboard displaying:
- Accident statistics by region, mine type, and cause
- Time-series analysis for trend identification
- Compliance metrics and generated audit reports
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Built for decision-makers and safety officers to monitor real-time data.
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AI chatbot designed to answer mining safety queries in natural language.
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Supports Hindi voice-to-text input for accessibility in field environments.
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Provides instant responses on:
- Safety protocols
- Emergency procedures
- Latest DGMS circulars
- Best practices and preventive guidelines
| Layer | Technology |
|---|---|
| Automation & Data Ingestion | n8n |
| Backend | FastAPI / Node.js |
| AI & NLP | RAG + Gemini API |
| Dashboard | Next.js |
| Database | Supabase / Neon (Vector DB) |
| Voice Processing | openai-whisper |
- Faster insights into mining incidents and safety trends.
- Reduced manual workload for audit officers and inspectors.
- Accessible AI safety assistant for workers in Hindi.
- Data-driven decision-making to improve mining safety culture.