🌱 AgriShield AI

Climate-Aware Crop Risk & Protection Assistant

AgriShield AI is an AI-powered agricultural decision-support system that analyzes crop vulnerability under changing climate and rainfall conditions. It combines Retrieval-Augmented Generation (RAG) with a locally running LLM (Ollama) and a FastAPI backend to provide explainable, region-aware crop protection recommendations.

Built as part of the 1M1B AI for Sustainability Internship Project.

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🚀 Key Features

• 🌾 Crop risk assessment based on rainfall & region
• 🧠 RAG-based grounded agricultural responses
• 🔒 Fully offline AI inference using Ollama
• 📍 Region-aware recommendations
• 📑 Structured action plans (Immediate / Short / Long Term)
• 💰 Cost & resource insights
• 🕘 Analysis history tracking
• 🖥️ Clean React + Tailwind UI

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🏗️ Tech Stack

Frontend

• React + Vite
• Tailwind CSS
• React Icons

Backend

• FastAPI
• LangChain
• Ollama (Local LLM)
• ChromaDB (Vector Store)

AI Layer

• Local LLM via Ollama
• Retrieval-Augmented Generation (RAG)
• Domain agricultural knowledge embeddings

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🧠 Architecture Overview

User → React Frontend → FastAPI API → LangChain RAG → Chroma Vector DB → Ollama LLM → Structured Response → UI

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⚙️ Setup Instructions

1️⃣ Clone Repo

git clone https://github.com/Arni005/Agrishield_AI.git
cd Agrishield_AI

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2️⃣ Backend Setup

cd backend
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Run backend:

uvicorn api:app --reload

Backend runs at:

http://127.0.0.1:8000

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3️⃣ Frontend Setup

cd frontend
npm install
npm run dev

Frontend runs at:

http://localhost:5173

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4️⃣ Run Ollama (Required)

Make sure Ollama is installed and running:

ollama run llama

(Use whichever model you configured.)

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📂 Project Structure

Agrishield_AI/
│
├── backend/
│   ├── api.py
│   ├── rag_engine/
│   ├── db/ (Chroma Vector DB)
│   └── requirements.txt
│
├── frontend/
│   ├── src/components
│   ├── pages
│   ├── public
│   ├── App.jsx
│   └── package.json
└── README.md

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📌 Use Case

Helps farmers:

• Predict crop risks under rainfall variability
• Understand threats (drought, flooding, disease risk)
• Get prioritized protection strategies
• Plan resource allocation efficiently

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Workflow

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User Interface

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👩‍💻 Developed By

Arni Johry 1M1B AI for Sustainability Virtual Intern

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