Open Grant Proposal: OpenPlanet Risk Intelligence - Decentralizing High-Resolution Climate Risk Data via IPFS/Filecoin

# 1. Project Overview
**Project Name:** OpenPlanet Risk Intelligence
**Website/Live MVP:** https://openplanet-ai.vercel.app/
**Verification:** Officially listed on the UNDRR (United Nations Office for Disaster Risk Reduction) PreventionWeb Directory: https://www.preventionweb.net/organization/openplanet

**Project Description:**
OpenPlanet Risk Intelligence is an institutional-grade, high-resolution global climate risk intelligence engine. It democratizes access to complex climate models (CMIP6, Copernicus ERA5) by utilizing Uber’s H3 hexagonal hierarchical spatial indexing. We compute localized climate risk audits incorporating Gasparrini’s temperature-mortality curves and Burke’s economic decay models.

Currently, this level of precision is locked behind expensive corporate paywalls due to the massive storage and computation costs of spatial data. Our mission is to make this data a free, accessible public good for the Global South.

# 2. Value to the Filecoin Ecosystem
**Why Filecoin/IPFS?**
Hosting and routing terabytes of H3-indexed climate projections and historical weather data on traditional cloud providers (AWS/GCP) is financially unsustainable for an open-source, public-good project.

By integrating with Filecoin and IPFS, OpenPlanet will:
1. **Onboard Massive Datasets:** Process and onboard processed CMIP6 and Copernicus datasets onto the Filecoin network.
2. **Decentralized Access:** Serve H3-indexed risk data to front-end clients directly via IPFS, eliminating central server choke-points and ensuring permanent, censorship-resistant access for researchers globally.
3. **Showcase Web3 for Climate:** Demonstrate a high-utility, real-world application of Filecoin in the Climate Tech (ReFi/DeSci) space.

# 3. Architecture & Tech Stack
* **Frontend:** Next.js, Tailwind CSS, 3D WebGL visualizations for Hex-grids.
* **Backend:** FastAPI (Python) for routing mathematical models.
* **Geospatial Processing:** H3 (Hexagonal hierarchical spatial index).
* **Storage Layer (Proposed):** Transitioning spatial datasets to IPFS/Filecoin via Web3.storage or Lighthouse.

# 4. Team
**Aakash Goswami** - Independent Technical Architect
* Background: Independent technical architect and researcher focusing on Machine Learning and Climate Risk geometry.
* GitHub: https://github.com/aakash029-coder/openplanet-climate

* LinkedIn: https://www.linkedin.com/in/aakash-goswami-18b83531b

# 5. Milestones & Funding Request
**Total Ask:** $15,000 USD (Phase 1: Data Onboarding & IPFS Integration)

* **Milestone 1 (Month 1): Architecture, Data Formatting & UNDRR Alignment ($5,000)**
* Convert core CMIP6 temperature/precipitation datasets into highly optimized H3-indexed JSON/Parquet formats suitable for decentralized storage. Ensure the data structure aligns with our approved UNDRR PreventionWeb framework.
* **Milestone 2 (Month 2): IPFS Onboarding & Routing ($5,000)**
* Upload and pin the formatted climate datasets to the Filecoin network. Establish CID routing protocols.
* **Milestone 3 (Month 3): Frontend Integration & Testing ($5,000)**
* Update the OpenPlanet Next.js client to fetch map tile data and risk audits directly from IPFS nodes instead of centralized AWS servers, proving the end-to-end decentralized architecture.