Multi-Agent AI System: SpaceX Launch Weather & News Analyzer

🌍 Project Overview

This project is a modular Multi-Agent AI System designed using the Google ADK pattern. It accepts a natural language goal and orchestrates a series of autonomous agents to:

1. Identify the next SpaceX launch.
2. Fetch weather data for the launch site.
3. Enrich the context with relevant news.
4. Analyze the likelihood of delay.
5. Check if the goal is satisfied.

🛠️ Architecture

User Goal
   ⬇
PlannerAgent
   ⬇
['SpaceXAgent', 'WeatherAgent', 'NewsAgent', 'AnalyzerAgent', 'GoalCheckerAgent']
   ⬇
Sequential execution of agents using shared state

🤖 Agents Description

📓 PlannerAgent

• Parses the goal string and returns an ordered execution plan.

🚀 SpaceXAgent

• Fetches the next SpaceX launch using the SpaceX API v3.
• Resolves launch site name to latitude and longitude using SpaceX API v4.

☀️ WeatherAgent

• Uses coordinates to fetch weather data via OpenWeatherMap API.

📰 NewsAgent

• Uses NewsAPI to fetch top headlines related to SpaceX and weather.

📊 AnalyzerAgent

• Analyzes the data to predict if the launch might be delayed.

🌿 GoalCheckerAgent

• Evaluates if the goal was fulfilled using analysis results.

🔧 Setup Instructions

1. Clone Repository

git clone https://github.com/yourname/multi-agent-spacex.git
cd multi-agent-spacex

2. Create .env File

OPENWEATHER_API_KEY=your_openweather_api_key
NEWSAPI_KEY=your_newsapi_key

3. Install Dependencies

pip install -r requirements.txt

4. Run

python main.py

🌐 APIs Used

• SpaceX API v3 & v4
• OpenWeatherMap API
• NewsAPI

---

Made with ❤️ by Rishi Vejani