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खनिज सेतुKhanij SetuIndia's critical-minerals evidence platform
Search minerals, patents, research and institutions⌘ K
Evidence before inference

From mineral context to a defensible decision

One integrated workflow: Khanij Setu's mineral context and visual journey, powered by R&D Tracker's structured records and evidence chain.

REFERENCE

What the integrated prototype demonstrates

  • Mineral-first exploration connected to database-backed search and technology classification.
  • Source-traceable records, evidence drawers and human review queues.
  • India demand scenarios from NITI Aayog with explicit sensitivity assumptions, separate from corpus analytics.
  • Explicit distinctions between reported observations, derived labels and unvalidated opportunities.

Validation and current limits

The local preview starts with 50 repository-supplied curated projects. These were AI-transcribed with citations and still require human review. The full patent and publication corpus has not been loaded. Classification metrics depend on the evaluation set and must not be described as independently validated accuracy. Scenario workbook values remain pending reconciliation with the publisher download. No synthetic occurrence map, patent counts or readiness scores are used to fill missing data.

Presentation guide · 10-slide structure

Mapped to the supplied JNARDDC preliminary presentation guidelines (recommended length: 7–15 slides).

  1. Title, PS-02, team and registration details (complete before presenting).
  2. Problem: fragmented patent and R&D evidence across the mineral value chain.
  3. User decision: what is known, who is working on it, and what evidence is missing?
  4. Solution: demonstrate the mineral explorer and a linked search.
  5. Architecture: source ingestion, canonical records, taxonomy, analytics, evidence and review.
  6. Methodology: show one source record and its derived classification.
  7. Prototype: demonstrate the landscape and source-cell scenario table.
  8. Validation: show corpus coverage, review requirements and current limitations.
  9. Feasibility and roadmap: source access, corpus loading, human validation and operating costs.
  10. Expected impact and next steps: traceability, analyst time and coverage as measurable outcomes.

Methodology guide · 13 September 2026 · local preview capabilities and limitations, not a live validation score.