THE UNCAUGHT EXCEPTIONS

🌾 Untitled — AI-Driven Farm-to-Market Intelligence Platform

This repository contains the code bundle for Untitled, an AI-powered agricultural decision intelligence platform.

Original Figma Design: https://www.figma.com/design/wxjOLVYyMW0ldI5qutbRBt/Untitled

🚀 Running the Project

npm install
npm run dev

🚨 Problem Statement

India is one of the world’s largest agricultural producers. Yet 30–40% of agricultural output is lost post-harvest — not due to poor farming practices, but due to weak decision intelligence between harvest and market realization.

The constraint is not production capacity. The constraint is profit optimization.

🔍 Core Structural Gaps

Farmers currently face:

• Harvest timing decisions without predictive weather intelligence
• Mandi selection based on informal networks instead of data
• No visibility into price volatility or mandi arrival volumes
• No transport-adjusted net profit calculation
• High spoilage risk due to storage and transit uncertainty
• Limited transparency behind advisory recommendations

This creates systemic information asymmetry:

| Stakeholder | Intelligence Access | |-------------|--------------------| | Traders | Supply inflows | | Corporates | Demand forecasting | | Markets | Dynamic pricing | | Farmers | Reactive decisions |

⚠️ Fragmented Ecosystem

Existing solutions are disconnected:

• Weather apps provide forecasts — not harvest strategy
• Price portals show mandi rates — not profitability insights
• Advisory tools lack explainability
• No unified system integrates farm conditions with real-time market economics

📉 Economic Impact

Due to this intelligence gap, farmers often:

• Harvest too early or too late
• Sell in oversupplied mandis
• Incur unnecessary logistics costs
• Experience preventable spoilage losses

This results in:

• Reduced net income
• Higher financial volatility
• Lower bargaining power
• Long-term economic stress

🌍 Sustainability Disconnect

Sustainability practices such as:

• Soil health improvement
• Residue management
• Regenerative farming

remain disconnected from profitability intelligence systems, limiting:

• Long-term productivity
• Access to carbon-linked incentive programs
• Climate-resilient agricultural planning

🎯 Solution Vision

Build a transparent, AI-driven farm-to-market intelligence platform that:

• Optimizes harvest timing
• Predicts mandi profitability
• Adjusts for transport cost and spoilage risk
• Provides explainable recommendations
• Aligns sustainability with economic outcomes

🏗️ System Architecture

graph TD
A[Farmer Inputs] --> B[Weather API Integration]
A --> C[Soil & Crop Data]
A --> D[Mandi Price Database]

B --> E[Harvest Prediction Engine]
C --> E
D --> F[Mandi Intelligence Engine]

E --> G[Decision Layer]
F --> G

G --> H[Spoilage Risk Module]
H --> I[Recommendation Dashboard]

I --> J[Farmer Mobile Interface]