🌾 Kisaan Saathi – Empowering Farmers with AI

Kisaan Saathi is a comprehensive AI-powered Farmer Dashboard designed to support Indian farmers through real-time data, smart decision-making tools, and access to vital resources. From intelligent crop disease diagnosis to market price analysis, equipment rental, and weather forecasting — Kisaan Saathi is your digital companion in the field.

Watch the Video Demo.

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🚀 Features

🧬 Crop Care & Disease Detection

• Powered by a custom-trained Xception model to detect crop diseases across 38 unique categories.
• Detected disease details are passed to an LLM to generate:
  • ✅ Cause
  • 🌱 Prevention
  • 💊 Treatment
• Equipped with an AI-powered hotspot mapping system using DBSCAN clustering to:
  • Visualize disease-affected areas.
  • Help government agencies prioritize land inspections based on report density.
• Real-time Processing: Get instant disease diagnosis with image upload
• Multi-language Support: Available in multiple Indian languages
• Check out the Plant Disease Prediction Model - Plant Disease Prediciton

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💧 Water Footprint Calculator

• ML-Powered Water Requirement Prediction using a Random Forest Regressor model
• Considers multiple factors for accurate water requirement estimation:
  • Crop type and area
  • Regional climate conditions
  • Soil characteristics
  • Irrigation methods
  • Environmental factors (rainfall, temperature, humidity)
• Provides detailed insights:
  • Total water requirement
  • Daily and weekly water needs
  • Customized irrigation recommendations
  • Soil-specific water management tips
• Model Features:
  • Handles both categorical (crop type, soil type) and numerical features
  • Provides real-time predictions through FastAPI backend
  • Adapts recommendations based on local conditions

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🤖 Farmer AI Assistant – Multi-Agent RAG System

• Built with a multi-agent architecture for specialized assistance
• Uses RAG (Retrieval-Augmented Generation) with ChromaDB vector storage for Mental Health Support
• Ask anything – from farming tips to market advice

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📊 Market Analysis

• Real-time crop pricing via external agri-market APIs
• Features:
  • Price trends visualization
  • Historical data analysis
  • Regional price comparisons
• Helps farmers counter unfair middlemen pricing with live rate insights
• Enables better selling decisions and pricing power

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🏛️ Government Schemes

• A centralized page for all ongoing agricultural schemes
• View eligibility, benefits, and application steps in one place

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🌦️ Weather Advisory

• Fetches accurate weather updates via Weather API
• Features:
  • Weather Forecast
  • Crop calendar and Advice
  • Wind speed monitoring
  • Humidity
  • Soil Temp

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🔁 Crop Waste Exchange

• Farmers can sell/exchange crop waste for monetary value
• Supports government initiatives for biogas and biofuel production

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🚜 Equipment Rental

• Access to nearby equipment rental options at affordable rates
• Makes farming resources more accessible to small and marginal farmers

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🛠️ Tech Stack

Frontend

• HTML5 - Semantic markup
• TailwindCSS - Utility-first CSS framework
• JavaScript - Interactive features
• Chart.js - Data visualization
• Font Awesome - Icons

Backend

• FastAPI - Modern, fast web framework
• Uvicorn - ASGI server

Machine Learning & AI

• TensorFlow - Deep learning framework
• Scikit-learn - Machine learning algorithms
• Xception - Image classification model
• Random Forest - Water requirement prediction
• DBSCAN - Clustering algorithm

AI/LLM Integration

• LangChain - LLM application framework
• LangGraph - Multi-agent coordination
• ChromaDB - Vector storage
• Groq LLM - Fast inference
• Gemini API - Advanced language model

APIs & Services

• Weather API - Real-time weather data
• Market Price APIs - Agricultural commodity prices
• Gemini API - Scheme information
• Groq LLM API - Tweaked to create Multiple agents for Automation

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📸 Screenshots

Interactive Dashboard with Real-time Updates

AI-Powered Crop Disease Detection Interface

Comprehensive Market Analysis Dashboard

Water Footprint Calculator with ML Predictions

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🚀 Installation & Setup

Prerequisites

• Python 3.8 or higher
• pip (Python package manager)
• Git

Step 1: Clone the Repository

git clone https://github.com/21lakshh/Kisaan-Sathi.git   
cd Kisaan-Sathi

Step 2: Create Virtual Environment

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

Step 3: Install Dependencies

pip install -r requirements.txt ##THESE ARE NOT YET ADDED

Step 4: Environment Configuration

Create a .env file in the root directory:

GROQ_API_KEY=your_groq_key_here
DATA_GOV_API_KEY=your_data_gov_key_here
GEMINI_API_KEY=your_gemini_key_here
OPEN_WEATHER_API_KEY=your_weather_api_key_here

Step 5: Run the Application

python app.py

The application will be available at http://127.0.0.1:8000

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