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KisanMind

KisanMind is an AI-powered agricultural intelligence system that answers every farmer's critical question: "What should I plant this season to make the most money?" By synthesizing data across 6 intelligence sources and

Core trick

Six data-source agents run in parallel and a model synthesizes a profit-ranked crop plan, with photo inputs for soil and disease.

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KisanMind is an AI-powered agricultural intelligence system that answers every farmer's critical question: "What should I plant this season to make the most money?" By synthesizing data across 6 intelligence sources and leveraging Claude Opus 4.6's extended thinking, KisanMind delivers comprehensive, profit-optimized farming recommendations in plain language accessible to farmers with limited literacy and technology access. KisanMind breaks these barriers by providing: ✅ Voice-first interface in 4+ regional languages (Hindi, Marathi, Tamil, Telugu) ✅ Visual intelligence - Upload photos to detect soil type and crop diseases (89% & 93% accuracy) ✅ Audio-guided capture for low-literacy farmers ✅ Multi-agent orchestration synthesizing 6 intelligence sources in parallel ✅ Profit-optimized recommendations with exact numbers, not vague advice ✅ Month-by-month action plans with government scheme recommendation
livingcool/kisanmind★ 21 forksTypeScriptCreated Feb 12, 2026 · last push Feb 15, 2026

README excerpt

# KisanMind 🌾

**AI-Powered Agricultural Intelligence & Profit Advisory System**

KisanMind answers the farmer's most critical question: **"What should I plant this season to make the most money?"**

Built for the [Anthropic Claude Code Hackathon](https://www.anthropic.com) (Feb 10-16, 2025) - Problem Statement 2: "Break the Barriers"

## 🎯 What KisanMind Does

KisanMind synthesizes data across **6 intelligence sources** to provide farmers with comprehensive, location-specific, profit-optimized farming recommendations:

1. **Soil Analysis** - Soil type, pH, drainage, crop suitability
2. **Water Assessment** - Water quality, salinity, groundwater depletion
3. **Climate Forecasting** - Rainfall, temperature, drought probability
4. **Market Intelligence** - Crop prices, trends, nearby mandis
5. **Government Schemes** - Subsidies, insurance, direct benefits
6. **Visual Intelligence** 🆕 - ML-powered soil & crop disease detection from photos

### Key Outputs
- ✅ Best crop for **maximum profit** (with exact numbers)
- ✅ Specific variety and sowing date
- ✅ Water management strategy
- ✅ Selling location and timing
- ✅ Government schemes to apply for
- ✅ Top 3 risks and mitigation strategies
- ✅ Month-by-month action plan
- 🆕 **Soil & crop disease analysis** from uploaded photos (89% & 93% accuracy)

## 🏗️ Architecture

### Multi-Agent System with Claude Opus 4.6

```
Farmer Input (voice/text)
    ↓
Intake Agent (Haiku 4.5)
    ↓
Orchestrator (Opus 4.6)
    ↓
┌─────────┬─────────┬────

Team