feat: Smart Travel Network - Multi-Agent Travel Planning System

[mdabdulmazidkhan]

Overview

Smart Travel Network, an AI Agent system utilizing the OpenAgents framework to collaboratively plan travel itineraries. It features a coordinated network of 6 specialized agents (Scout, Logistics, Activities, Master, Safety, and Packing) to transform user concepts into detailed travel plans.

Demo Video

Click here to watch the full demo

Repository

https://github.com/mdabdulmazidkhan/hackathons

Key Features

• Multi-Agent Architecture: Centralized Hub with specialized agents for distinctive tasks.
• Microservice Design: Independent agent configurations in YAML.
• Deployment Ready: Includes Dockerfile and start_zeabur.sh for easy containerized deployment.
• Local Dev Support: detailed PowerShell script start_network.ps1 for local testing.

Agent Roles & Workflows

1. Agent A: The Destination Scout

• Role: Specialized Research & Analysis
• Workflow: Monitors user travel themes (e.g., "Cyberpunk Tokyo") and conducts semantic analysis to identify the optimal real-world destination.
• Output: Produces a comprehensive destination report with key highlights and rationale.

2. Agent B: Logistics Planner

• Role: Supply Chain & Transit Optimization
• Workflow: Consumes the destination data from Agent A to query (simulated) flight and accommodation databases. Optimized for cost-efficiency and convenience.
• Output: Detailed flight options (Direct vs. Layover) and segmented accommodation tiers (Luxury/Budget/Unique).

3. Agent C: Activities Coordinator

• Role: Experience Curation
• Workflow: Analyzes the destination's "vibe" and local geography to curate distinct activity options.
• Output: A structured list of 3 unique local experiences tailored to the user's initial theme.

4. Agent D: Itinerary Master

• Role: Data Aggregation & Synthesis
• Workflow: Acts as the central synthesizer, listening to outputs from Logistics, Activities, Safety, and Packing agents. It resolves conflicts and sequences events.
• Output: The Final Master Itinerary—a cohesive Markdown document detailing day-by-day schedules, safety briefings, and preparation guides.

5. Agent E: Safety Advisor

• Role: Risk Assessment
• Workflow: Independent auditing of the chosen destination to flag potential risks, scams, or health requirements.
• Output: A Safety Briefing including a 1-10 Safety Score, emergency contacts, and health advisories.

6. Agent F: Packing Specialist

• Role: Inventory Management
• Workflow: Context-aware analysis of the specific activities and weather conditions to generate a personalized inventory.
• Output: A categorized Packing Checklist distinguishing between clothing, technical gear, and essential documents.

Testing

• Verified locally using start_network.ps1.
• Verified deployment build using Dockerfile.

[mdabdulmazidkhan]

This PR is submitted for the OpenAgents Hackathon. Kindly add the #hackathon-submission label.