By: Anastasia M. (9th G)
Revolutionize travel with Sustainability in mind
The Problem
- Travel planning takes a lot of research and planning
- Finding a sustainable travel solution is even more challenging
- Lack of transparency in carbon footprint calculations
Proposed Solution
- Travel planning using AI
- Personalized itinerary suggestions based on user’s preferences and budget requirements
- Include carbon footprint calculations for each itinerary option
- Recommendations for sustainable travel options
- Real-time updates based on travel conditions and sustainability initiatives worldwide
User Story: Summer vacation
● Jane wants to travel to see the world during college summers
● She wants to reduce carbon footprint by choosing eco-friendly options
● TravelPlanner runs the LLM search and provides the most effective routes
● This allows Jane to enjoy guilt-free travel using public transportations
How does it work?
Using LLM
- Travel Planner LLM is a foundational AI technology to make impacts across many
- different use cases.
- It will analyze user preference and travel data to personalize recommendations
- It can also analyze carbon emission data and recommend the greenest path
- Real-time data analysis will optimize travel routes and suggests sustainable alternatives
Optimizing the LLM
Travel Planner leverages robust datasets by Hugging Face and improved GPT-4o, along with Predictive AI and Human-in-the-Loop analysis to create the most sustainable travel route for users
