🌦️ Weather AI Agent — IBM watsonx.ai

🤖 An AI-powered weather agent built on IBM watsonx.ai platform using LangGraph ReAct agent with real-time GoogleSearch tool.

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🎯 What It Does

• Fetches real-time weather for any city globally
• Uses GoogleSearch tool for live data
• Provides temperature, humidity, rain probability & expert suggestions
• Powered by Meta Llama 3.2 90B vision model

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🛠 Tech Stack

Tool	Purpose
IBM watsonx.ai	AI Platform
LangGraph	ReAct Agent Framework
LangChain IBM	Watson Chat Model
Meta Llama 3.2 90B	Foundation Model
GoogleSearch Tool	Real-time weather data
Python 3.11	Core programming

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📊 Sample Output

🌤 Weather Report — Nagpur, Maharashtra (7th August 2025)

🌡 Temperature  : 31°C  |  Feels Like: 34°C
💧 Humidity     : 66%   |  Wind: 14 km/h (West)
🌧 Rain Chance  : 60%   |  Evening 6 PM – 8 PM

📈 Today's Range: High 33°C — Low 25°C
🌅 Sunrise: 5:54 AM  |  🌇 Sunset: 6:48 PM

💡 Expert Suggestion:
   ☂ Carry umbrella in evening
   💧 Stay hydrated — humidity is high

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⚙️ How It Works

User Question
     ↓
ReAct Agent (LangGraph)
     ↓
GoogleSearch Tool → Real-time Weather Data
     ↓
Llama 3.2 90B → Structured Weather Report
     ↓
User Gets Answer

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🚀 How to Run

# Step 1 — Install dependencies
pip install langchain-ibm ibm-watsonx-ai langgraph

# Step 2 — Set IBM API Key
Enter your IBM Cloud API key when prompted

# Step 3 — Run notebook
jupyter notebook weather_AI.ipynb

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👤 Author

Sagar Kishor Shende