Roameo: An AI Agents-based Travel Solution

Roameo is an innovative travel solution platform powered by AI agents, designed to revolutionize the way users plan, book, and experience their travel journeys. The platform leverages advanced AI capabilities to provide personalized recommendations, automate travel workflows, new map search and seamlessly integrate multiple travel services for a superior user experience.

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Table of Contents

• Introduction
• Features
• Architecture
• Tech Stack
• AI Agents & Capabilities
• Directory Structure
• Setup & Installation
• Usage
• Configuration
• Contributing
• License
• Acknowledgements

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Introduction

Roameo is built to assist travelers in planning every aspect of their trip, from discovery to booking and itinerary management. Using a multi-agent AI system, Roameo offers:

• Tailored travel recommendations
• Automated trip planning
• Real-time itinerary updates
• Integration with booking APIs
• Conversational AI assistants for travel support

Roameo’s mission is to make travel planning effortless, personalized, and intelligent.

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Features

• Personalized Travel Recommendations: AI analyzes user preferences to suggest destinations, activities, and accommodations.
• Automated Itinerary Generation: Generates day-by-day plans based on user interests, time, and budget.
• Conversational Agent: Chat interface for queries, booking assistance, and support.
• Booking Integration: API connections to hotels, flights, and activity providers.
• Real-time Updates: Notifies users of changes, delays, and opportunities during travel.
• Collaborative Planning: Allows group planning and agent negotiation for optimal itineraries.

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Architecture

Roameo is a modular, service-oriented application with the following core components:

• Frontend (TypeScript/React): User-facing interface for interacting with AI agents, viewing itineraries, and managing bookings.
• Backend (Python/FastAPI): Hosts AI logic, manages data, orchestrates agent communication, and integrates external APIs.
• AI Agent Layer: Implements multiple specialized agents for recommendation, planning, booking, and support.
• Database: Stores user profiles, itineraries, and booking histories.
• External Integrations: Connects to travel APIs (e.g., hotel, flight, activity providers).

High-Level Architecture Diagram

Icons credit goes to respective owners

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Tech Stack

• Frontend: TypeScript, React, Redux
• Backend: Python, FastAPI
• AI/ML: LangChain, OpenAI API, Custom ML models
• Database: PostgreSQL or MongoDB (configurable)
• DevOps: Docker, GitHub Actions
• Other: RESTful APIs, WebSockets for real-time updates

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AI Agents & Capabilities

Roameo’s intelligence comes from a suite of AI agents, each specializing in a domain:

• Recommendation Agent: Analyzes preferences, trends, and reviews.
• Planning Agent: Builds itineraries, optimizes schedules.
• Booking Agent: Automates reservations, handles payments.
• Support Agent: Provides real-time help and answers questions.
• Negotiation Agent: Facilitates group trip planning and consensus.

Agents communicate via an orchestrator module, leveraging natural language processing and reasoning algorithms.

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Directory Structure

Roameo-An-AI-Agents-based-Travel-Solution/
├── frontend/                # TypeScript React app
│   ├── src/
│   ├── public/
│   └── ...                 
├── backend/                 # Python FastAPI app
│   ├── agents/
│   ├── api/
│   ├── models/
│   ├── database/
│   └── ...
├── docs/                    # Documentation
├── scripts/                 # Utility scripts
├── tests/                   # Test suites
├── .github/                 # Workflows/CI
├── Dockerfile
├── docker-compose.yml
└── README.md

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Setup & Installation

Prerequisites

• Node.js (v18+)
• Python (v3.9+)
• Docker & Docker Compose (recommended)
• PostgreSQL or MongoDB (if running without Docker)
• API keys for external integrations (OpenAI, travel APIs, etc.)

Quick Start (Docker)

1. Clone the repository:

   git clone https://github.com/OmkarLolage21/Roameo-An-AI-Agents-based-Travel-Solution.git
   cd Roameo-An-AI-Agents-based-Travel-Solution

2. Configure Environment Variables:

   • Copy .env.example to .env in both frontend/ and backend/ directories.
   • Fill in required API keys and secrets.

3. Start the Application:

   docker-compose up --build

4. Access the App:

   • Frontend: http://localhost:3000
   • Backend API: http://localhost:8000/docs

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Manual Setup (Local Development)

Backend

1. Install Python dependencies:

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

2. Configure backend environment variables:

   cp .env.example .env
   # Edit .env for your API keys and DB credentials

3. Run the backend server:

   uvicorn main:app --reload

Frontend

1. Install Node dependencies:

   cd frontend
   npm install

2. Configure frontend environment variables:

   cp .env.example .env
   # Edit .env for API endpoint URLs, keys, etc.

3. Start the frontend development server:

   npm start

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Usage

• Sign up and create a profile.
• Chat with the AI agent to begin planning your trip.
• Receive recommendations and auto-generated itineraries.
• Book hotels, flights, and activities via integrated APIs.
• Manage and update your trip on the dashboard.
• Get real-time support and notifications.

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Configuration

• API Keys: Required for AI and travel API integration.
• Database Connection: Configure in backend/.env.
• Frontend Endpoint URLs: Configure in frontend/.env.
• Customizations: Modify agent logic in backend/agents/.

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Contributing

We welcome contributions! To get started:

1. Fork the repo and create your branch: git checkout -b feature-name
2. Make your changes and commit: git commit -am 'Add new feature'
3. Push to the branch: git push origin feature-name
4. Open a pull request

See CONTRIBUTING.md for guidelines.

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License

This project is licensed under the MIT License. See LICENSE for details.

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Roameo – Your travel, intelligently planned.