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Development of a Custom AI-Powered Meeting Management Platform with Enhanced Search and Data Collection Capabilities
  1. case
  2. Development of a Custom AI-Powered Meeting Management Platform with Enhanced Search and Data Collection Capabilities

Development of a Custom AI-Powered Meeting Management Platform with Enhanced Search and Data Collection Capabilities

gearheart
Government
Legal
Public Administration

Identified Challenges in Meeting Recording and Data Management for Government Entities

Many government organizations face limitations with existing meeting management solutions, including inadequate scalability, restricted search functionalities, and limited ability to gather data across diverse locations. These challenges hinder transparency, access to records, and efficient oversight of official proceedings, especially when reliant on outdated or third-party platforms with constrained capabilities.

About the Client

A government agency or organization responsible for recording, transcribing, and managing official meetings, seeking to improve transparency and operational efficiency through a scalable, feature-rich platform.

Goals for Developing an Advanced, Scalable Meeting Management System

  • Implement a proprietary administrative interface to replace third-party admin panels, enabling better customization and control.
  • Develop a robust search engine capable of indexing and retrieving documents and audio transcriptions efficiently.
  • Expand geographic data collection to include multiple locations through integration with broadcast pages and APIs, enhancing coverage.
  • Ensure the platform supports scalable data storage and querying through optimized database architecture.
  • Improve platform performance, reliability, and security to support increased user activity and data volume.

Core Functional Features for an Enhanced Meeting Management Platform

  • Custom Admin Panel with a FastAPI backend and TypeScript frontend for seamless management.
  • Advanced Boolean search engine integrated with a NoSQL database (e.g., MongoDB) for swift document and transcript retrieval.
  • Geo-enabled scrapers and data collection tools capable of gathering information from multiple broadcast pages and APIs across various locations.
  • Transition from a limited API-driven database to a normalized PostgreSQL setup on cloud infrastructure for complex querying and reporting.
  • Automated data scraping and ingestion mechanisms supporting over 30 platforms, with scheduled updates.
  • Secure, scalable cloud infrastructure ensuring high availability, data integrity, and compliance with security standards.

Recommended Technologies and Architectural Approaches

FastAPI (Python) for backend API development
TypeScript for frontend development
MongoDB for search indexing and document storage
Heroku or similar cloud platform for hosting scrapers and APIs
PostgreSQL on AWS for relational data storage and querying
API integrations with broadcast and government data sources

Essential External System Integrations

  • APIs of broadcast platforms for data collection
  • Existing government or public record APIs
  • Third-party search libraries or services
  • Authentication and security protocols

Performance, Scalability, and Security Constraints

  • Support data collection from over 30 platforms with reliable uptime
  • Enable complex queries on PostgreSQL without performance degradation
  • Ensure platform is scalable to support increasing user base and data volume
  • Implement security protocols to safeguard sensitive government data
  • Design for responsiveness and fast load times for end users

Projected Business Benefits and Platform Outcomes

The new platform aims to significantly enhance government meeting transparency and efficiency by supporting large-scale data collection, advanced search capabilities, and improved user management. Expected outcomes include reduced operational costs through optimized scraping processes, expanded geographic coverage leading to broader data access, and increased user engagement as a result of faster, more reliable platform performance, ultimately improving transparency and accountability.

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