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hackathon / prototype

Parichay

AI-powered material-code harmonization for public-sector enterprises.

  • Python
  • FastAPI
  • PostgreSQL
  • pgvector
  • FAISS
  • BM25
  • NetworkX
Built a material-code harmonization prototype for CPSEs on FastAPI and PostgreSQL/pgvector, combining 384-dimensional sentence embeddings, FAISS cosine search, BM25 lexical retrieval, and NetworkX cluster validation. Implemented critical-attribute safety checks to block unsafe material matches. Synthetic benchmark: 99.66% Recall@30 with zero unsafe merges. The benchmark described in my résumé used 38 canonical materials, 168 variants, and 14 hard-negative groups. These are prototype/synthetic benchmark results, not production deployment metrics. Context: Smart India Hackathon 2026.