Build a functional MVP that simulates a full agricultural intelligence system for Tanzania, covering production, storage, prices, and consumer workflows using synthetic data. The MVP will demonstrate data ingestion, analytics, visualization, and basic prediction.
# πΎ African Intelligence Company - Agriculture Intelligence MVP
**Tanzania's First Unified Agricultural Intelligence Layer**
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## π― Vision
Create a **unified intelligence layer for Tanzania's agricultural sector**βenabling visibility, prediction, and actionable insights for farmers, buyers, markets, and policymakers.
This is **Africa's first comprehensive agricultural intelligence system** capable of tracking, understanding, and forecasting nationwide agricultural data.
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## π Purpose
Build a functional MVP that simulates a full agricultural intelligence system for Tanzania, covering:
- πΎ **Production** - Crop yields and forecasts
- π¦ **Storage** - Inventory and capacity tracking
- π° **Prices** - Market dynamics and trends
- π **Consumer Workflows** - Demand patterns
The system demonstrates **data ingestion, analytics, visualization, and prediction** using synthetic data initially, with real data integration planned for January 2025.
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## π MVP Objectives (Delivery: January 1, 2026)
### Core Capabilities
1. β
**Data Ingestion**
- CSV upload functionality
- Simulated real-time data streaming
- Support for production, price, and storage data
2. π **Interactive Dashboard**
- Production trends by region and crop
- Price analytics and market insights
- Storage levels and capacity monitoring
- Regional and temporal filtering
3. π **Analytics Engine**
- Monthly summaries and aggregations
- Key Performance Indicators (KPIs)
- Statistical insights and averages
- Trend identification
4. π€ **Predictive Intelligence**
- Production forecasting (6-month horizon)
- Price trend predictions
- Seasonal pattern recognition
- Confidence intervals for risk assessment
5. π **Real-Time Simulation**
- Data replay scripts
- Streaming data simulation
- Live dashboard updates
6. π **Research Documentation**
- Agricultural sector mapping
- Risk analysis
- Data source inventory
- Pilot program plans
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## π¨ System Architecture
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