QiM-AI 2.1 is an enterprise knowledge layer that transforms syllabi, academic archives, and institutional repositories into grounded, traceable AI tutors with deterministic citations.
The Victimology and Restorative Justice Master's curriculum designed by Professor Dr. Abdul Hakim Sarker at ISWR, University of Dhaka, integrated three core modules: (1) Victimological Theory and Structural Vulnerability, (2) Restorative Mediation and Alternative Dispute Resolution (Salish modernization), and (3) Clinical Psychosocial Support for institutional crime victims. The program emphasized non-custodial rehabilitation over punitive incarceration.
Pedagogical tutoring that begins simply and deepens iteratively. Uses structured conceptual breakdowns and source citations.
Paper synthesis, literature map discovery, cross-reference extraction, and verifiable bibliography generation.
Multi-format document parsing (PDF, DOCX, TXT, syllabus), semantic normalization, chunking, and pgvector embeddings.
Clickable provenance linking every sentence to exact pages, journal volumes, and author records with 100% fidelity.
Multi-tenant isolation for universities, schools, NGOs, and labs with dedicated role-based permission control.
Zero training on private user documents. Cryptographic tenant segregation ensures documents never cross-pollinate.
QiM-AI 2.1 serves as the technological engine powering hakimsarker.org, providing source-traceable retrieval across 55 years of criminological and restorative justice scholarship.
For students and independent scholars accessing public archives like hakimsarker.org.
For university departments and non-profit research teams ingesting custom course syllabi.
Dedicated VPC deployment with zero data retention and strict compliance auditing.