Enterprise Search for Karnataka Legislature

Objective

To build a unified enterprise search platform that enables fast and intelligent retrieval of legislative records across bilingual datasets (English and Kannada),towards improving accessibility of information for Elected Representatives, government officials, researchers, and the general public.

Business Challenge

The legislative ecosystem generates massive volumes of records including:

Assembly debates
Bills and legislative drafts
Committee Reports
Commission Reports
Historical archives and policy documents

These records exist in multiple formats and languages, creating several challenges:

Information stored across multiple document repositories
Scanned PDFs and archived documents not easily searchable
Difficulty searching Bi-Lingual English - Kannada-language records
Time-consuming manual retrieval by the archival staff of Research & Reference Section
Lack of a centralized knowledge system for research and policymaking

As a result, accessing relevant legislative information often required manual effort and institutional memory, slowing down research and decision-making.

Solution

SSMS implemented an AI-powered Federated Enterprise Search platform that integrates all legislative repositories into a single searchable interface.

The system enables users to retrieve information across structured databases, scanned documents, and digital archives through one unified search experience to all the stakeholders in the legislative process.

The platform leverages:

Bilingual OCR for Kannada and English documents
Natural language processing for semantic/lexical search
Real-time indexing of legislative records
A secure search interface for different user roles
Fast search & analytical queries based on search terms

Approach

Data Consolidation
A operations console software was built to consolidate the following knowledge sources,the content should reflect that

Integrated multiple legislative data sources including:

  • Historical archives
  • Digital document repositories
  • Parliamentary records
  • Research reference databases,various electronic document formats,hard copies
Multilingual OCR Processing
Applied deep learning OCR models to extract text from scanned documents in Kannada and English, converting them into searchable formats.
  • Deep learning OCR
  • Kannada and English support
  • Searchable text conversion
  • Document indexing
Federated Search Engine
Implemented NLP-based search capabilities enabling:
  • Context-based search results
  • Query auto-suggestions
  • Cross-language search
  • Free Text Support including bi lingual English-Kannada scripts
  • Faster Response Times on large datasets rt including bi lingual English-Kannada scripts
Explorer Console Deployment
Developed a user-friendly search interface allowing users to:
  • Filter documents by categories
  • Preview files directly
  • Save search queries
  • Export search results
  • User Friendly interface to search and view the results in assistive manner (These words should come)

What Changed with SSMS

  • 70% faster access to legislative documents
  • Reduced reliance on manual archival support
  • Improved transparency by enabling easier access to records
  • Faster policy research and legislative analysis
  • Increased productivity of research and reference teams

Key Capabilities

  • Federated search across multiple repositories
  • Bilingual search (Kannada + English)
  • OCR-based indexing of scanned legislative records
  • Semantic search with NLP
  • Role-based secure access
  • Scalable Big Data architecture for future data growth