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Development of a Scalable AI-Powered Meeting Management Platform with Enhanced Search and Geospatial Capabilities

gearheart

Government

Information technology

Challenges with Scalability and Feature Limitations in Existing Meeting Management Platform

The client's existing Bubble-based platform faced scalability issues, limited API-driven database capabilities, and insufficient geographic coverage for data collection. The third-party admin panel and basic HTML scraping mechanisms hindered performance, cost efficiency, and feature expansion.

About the Client

An innovative technology product company developing AI-powered platforms for recording, transcribing, and managing government meetings to enhance transparency and efficiency.

Key Goals for Platform Modernization

Transition from Bubble infrastructure to a custom, scalable solution
Develop a proprietary admin panel with advanced workflow management
Implement a robust search engine for documents and audio transcriptions
Expand geographic data collection capabilities through enhanced scraping

Core System Functionalities

Custom admin panel with FastAPI backend and TypeScript frontend
MongoDB-based Boolean search engine for documents and transcriptions
Heroku-hosted geospatial scrapers with API integration
Normalized PostgreSQL database on AWS for complex queries

Technology Stack Requirements

FastAPI (Python)

TypeScript

PostgreSQL

AWS

MongoDB

Heroku

External System Integrations

Third-party broadcast APIs for geospatial data collection
MongoDB search engine integration
AWS cloud infrastructure services

Performance and Scalability Expectations

Support for 30+ platform integrations
High-performance database queries for large datasets
Scalable scraping architecture with cost-efficient API usage
Compliance with government data security standards

Expected Business Outcomes

The modernized platform will reduce operational costs through ScraperAPI efficiency, expand data coverage to 30+ platforms, improve database query performance for complex requests, and establish a maintainable codebase aligned with industry standards. This will enhance transparency for government stakeholders and citizens while enabling future AI-driven analytics capabilities.