FavourOgboi/HAKI-Agricultural-Intelligence-Platform
Domain:
agriculturenatural language processingRecord type:
software
Creator:
Fav
Host:
HAKI is a role-based agricultural intelligence platform for Zimbabwe farming communities.
# HAKI Agricultural Intelligence Platform
---
haki-frontend.onrender.com
HAKI is a role-based agricultural intelligence platform for Zimbabwe farming communities.
It combines:
- A fieldworker assessment workflow
- A manager dashboard for risk and performance monitoring
- A researcher query and data exploration experience
- A FastAPI backend for analytics and LLM-assisted workflows
- Supabase for authentication and operational data storage
## Project Structure
- src/App.tsx: application shell, routing, auth, and role-based navigation
- src/pages/fieldworker/NewAssessment.tsx: fieldworker assessment flow
- src/pages/manager/ManagerDashboard.tsx: manager dashboard
- src/pages/researcher/QueryPage.tsx: natural-language researcher query page
- src/pages/researcher/DataExplorerPage.tsx: researcher data explorer
- src/pages/OperationalPages.tsx: farmers, history, risks, reports, audit, and export pages
- haki_backend/main.py: FastAPI API routes
- haki_backend/engine.py: analytics engine and dataset processing
- haki_backend/llm.py: LLM layer for chat, extraction, parsing, and summaries
- supabase/migrations/20260824012837_create_haki_core_tables.sql: database schema
## Main Features
### Fieldworker
- Guided farmer assessment conversation
- Structured field extraction from chat
- Yield benchmark lookup
- Insight generation from similar-farmer and benchmark data
- Save farmer profiles and conversation history to Supabase
### Manager
- Community dashboard with live aggregate metrics
- Risk alerts
- Community and yield map context
- Reports and export support
### Researcher
- Natural-language query interface
- Privacy-safe aggregated results
- Data Explorer with supported projected fields
- Yield map exploration
- Anonymised CSV export
## Current and Planned Intelligence Capabilities
Currently implemented:
- LLM-based field extraction from fieldworker conversations
- Natural-language researcher query parsing
- Similar-farmer and yield-benchmark insight g …