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NiyamSetu

From Claude Impact Lab, Bhopal, 11 October 2026.

An evidence-first assistant for Madhya Pradesh’s Bhumi Vikas Rules that retrieves the relevant rule records and explains them with references and citations.

The problem

Understanding Madhya Pradesh’s Bhumi Vikas Rules can be difficult for citizens, students, and people planning construction. Relevant provisions are often buried in lengthy legal PDFs, making it challenging to identify applicable requirements, understand technical language, and locate the exact rule supporting an answer. Outdated or unverified information can also lead to confusion and incorrect decisions. There is a need for an accessible solution that simplifies building regulations while keeping answers transparent and traceable to their sources.

How it works

NiyamSetu is an AI-powered, evidence-first assistant that helps users understand Madhya Pradesh’s Bhumi Vikas Rules through natural-language questions. Using Retrieval-Augmented Generation (RAG), it searches a structured dataset of 106 rule records, retrieves relevant passages, and generates easy-to-understand explanations with rule references and source citations. It is designed to distinguish supplied historical text from verified current law, acknowledge missing evidence, and avoid inventing legal requirements. Our goal is to make building regulations easier to understand, verify, and navigate through a transparent and responsible AI experience.

Team

vibe-coder