Voyagen.ai

2025 | Machine Learning, User Experience, Travel

Voyagen.ai

Overview

Deploying soon thanks for patience!

Voyagen.ai is an innovative application designed to revolutionize how users plan their trips. By leveraging advanced machine learning, natural language processing, and personalized recommendation systems, the platform creates customized travel itineraries based on user preferences, constraints, and real-time data.

Challenge

Travel planning is often a time-consuming and overwhelming process for many travelers. They face difficulties in finding the right balance between exploring popular attractions and discovering hidden gems, managing time efficiently, staying within budget, and adapting to unexpected changes. Traditional travel planning tools lack the personalization and adaptability needed to create truly satisfying itineraries.

Solution

Voyagen.ai addresses these challenges by implementing several key features:

  • Personalized Recommendation Engine: Analyzes user preferences, past travels, and feedback to suggest destinations and activities aligned with their interests.
  • Natural Language Interaction: Allows users to describe their ideal trip in plain language, which our system interprets to create customized plans.
  • Adaptive Itinerary Optimization: Continuously refines the travel plan based on real-time factors like weather, opening hours, crowd levels, and transportation availability.
  • Budget Management: Helps users optimize their spending by suggesting alternatives and balancing costs across the entire trip.

Technical Implementation

The application is built using a modern tech stack:

  • Frontend: React with Next.js for server-side rendering and SEO optimization
  • op
  • Backend: Python, connected to supabase for database and authentication
  • Machine Learning: Used openai and anthropic for LLMs and created custom rag pipeline for better results
  • DevOps: Docker containers orchestrated with Kubernetes, deployed on Vercxel
  • APIs: Integration with various travel APIs for real-time data on flights, accommodations, attractions, and weather

Project Details

ROLE

Co-Founder & Lead AI Engineer

DURATION

April 2025 - Present

TEAM

2 members (AI Engineer & Full-stack Developer)

TECHNOLOGIES

PythonReactNext.jsOpenAISupabaseVercel

OUTCOME

We deployed the project and marketed it on social media platforms. We received positive feedback from users and have plans to expand the project in the future.