CommUnity Hub
A multi-organization coordination platform turning community needs into geocoded, trackable tasks for NGOs, coordinators, and volunteers.
Meetpuri Goswami
0 ms
API Latency for Offline AI Queries (Local operational assistant resolves queries directly from PostgreSQL without external AI calls)
100%
Multi-Tenant Data Isolation (Complete privacy boundaries between distinct NGOs and coordinators)
6-Stage
Verified Need Lifecycle Tracking (From reported to assigned, in-progress, and resolved with audit logs)
Overview
When local crises, natural disasters, or community outreach efforts happen, relief coordination usually breaks down in the same place: communication silos.
NGOs, field coordinators, and volunteers end up relying on a messy web of WhatsApp group chats, disconnected Google Sheets, endless phone calls, and buried email threads. Critical community needs get lost, volunteers sit idle waiting for instructions, resources are misallocated, and coordinators spend more time sifting through spreadsheets than actually helping people on the ground.
We built CommUnity Hub to solve this exact bottleneck. It’s a unified, multi-organization operational platform designed for NGOs, community coordinators, and volunteers. It turns chaotic community requests into trackable, geocoded workflows, matches them with skilled volunteers, manages surveys and document verification, and gives coordinators live dashboard analytics and AI assistance.
Turning real-time community needs into trackable action, connecting volunteers, and empowering NGOs with unified operations & AI intelligence.
AI tools used
ChatGPT: Used for rapid UI prototyping, drafting initial React boilerplate, writing custom helper utilities, and debugging Express session authentication & middleware edge cases. Gemini: Integrated directly into the application runtime (@google/generative-ai) for Smart Drive document quick-scanning and dynamic survey generation. Also used during development for prompt engineering and optimizing document summaries. Claude: Used for full-stack architecture design, code refactoring, structuring the multi-tenant Drizzle ORM schema, and generating clean OpenAPI 3.0 specification definitions. Perplexity: Used for technical research on dependency compatibility, modern React 19 / TanStack Router integration patterns, Leaflet map geocoding practices, and security configurations (Helmet & rate-limiting policies).