Developing Personalized AI Travel Advisors for Paris Olympics 2024
Challenge Background
The upcoming 2024 Paris Olympics presents a unique opportunity for visitors to experience the city beyond the typical tourist attractions. With the influx of tourists expected for the Olympics, there is a growing need for a personalized travel experience that allows visitors to immerse themselves in the local Parisian culture. The Advisor project aims to leverage the capabilities of multiple AI agents to create a comprehensive travel assistant that not only helps visitors plan their sightseeing but also enables them to discover local hotspots, enjoy authentic Parisian experiences, and navigate the city with ease during the Olympic events.
Avoid experiencing Paris syndrome by chatting with our AI agents. Let them help you enjoy Paris like a true Parisian. Our goal is to develop personalized travel advisors using AI agents that will advise as a professional advisor would do with all background research and customized only for you with lowest cost then ever. We aim to guide visitors to local hotspots, recommend authentic accommodations, assist with navigating the city stress-free, and provide real-time RATP Paris guidance for optimal routes between accommodations and Olympics venues and thereafter for Paris.
The Problem
As the Paris Olympics draw near, many visitors will be embarking on journeys to the city, eager to explore its rich culture and iconic landmarks. However, the typical tourist experience may not fully capture the essence of Parisian life. Our project aims to address several key challenges to ensure a more enriching and authentic experience for visitors:
Multilingual support for seamless interactions, Health and Safety awareness, Educating about potential tourist scams, promoting Cultural Engagement and Respect, Managing Expectations vs. Reality. Through community-driven initiatives, we seek to leverage technology to support visitors, providing them with the tools and knowledge needed to navigate Paris confidently and immerse themselves in its vibrant tapestry of history and contemporary life during this monumental event.
Goal of the Project
AI Agents Advisors: Integrate the capabilities of diverse AI agents for itinerary generators, psychiatry chatbots, and traffic optimizers to develop a sophisticated travel assistant. This advisor will provide personalized itineraries, recommend local hotspots to avoid overcrowded tourist areas, assist with accommodations, and prevent Paris Syndrome. It will also offer RATP and Paris Metro guidance for efficient sightseeing routes. Additionally, the assistant will address the idealized image of Paris depicted in media, preparing visitors for the city's realities, including social issues and local attitudes towards tourists.
Furthermore, the project will promote cultural immersion by encouraging respectful engagement with Parisian culture, cuisine, and lifestyle. Visitors will also receive comprehensive information on health and safety measures, particularly crucial during the summer heat and to guard against potential tourist scams during the Olympic season.
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Personalized Itineraries and Local Hotspot Recommendations, Accommodation Assistance and Paris Syndrome Prevention, Efficient RATP & Paris Metro Guidance, Cultural Immersion, and Health & Safety Awareness: Encourage cultural engagement by educating visitors about local customs, cuisine, and lifestyle. Additionally, ensure visitors are well-informed about health and safety measures, particularly important during the summer heat and amidst potential tourist scams.
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User-Friendly Interface and Personalized Guidance: Develop an intuitive platform that offers easy access to information and personalized guidance, including essential phrases for interacting in Paris.
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Feedback Integration and Continuous Improvement: Incorporate user feedback to enhance the assistant's recommendations and functionalities over time, ensuring a responsive and adaptive experience.
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Support for Local Businesses and Sustainable Tourism: Promote a sustainable tourism model by supporting local businesses and cultural institutions, offering travel advice beyond the Olympic period to foster lasting community engagement.
Project Timeline
Problem understanding and Paris knowledge, Paris Olympics and Issues about the city
Data collection about local spots in Paris and around, game schedules and routes via RATP, List and store data about current tourist spots and best places to visit.(to compare later for AI advisors)
AI Agents, Chains and using Ollama for local LLM testing & Learning about frameworks like CrewAI, Autogen, Ollama, LMStudio and more
Developing advisor - Travel Advisor, Paris syndrome Psychiatry Advisor, Local hotspot Advisor, Top language phrases Advisor, Route Advisor, Making autonomous advisor to guide user through Paris for Olympics and Beyond
Developing Application, designing & Deployment Testing, Developing robust app with option to run locally and with Hugging face model and OpenAI paid api keys
Testing Agents on Local systems and final deployments, Feedback and community contribution about the best local hotspot, and testing with the community.
What you'll learn
- Problem understanding and knowledge about Paris.
- Learn about AI agents and how it's going to take over advisory roles.
- Learn about how AI agents work together in chains to provide professional advisory services using real data from the internet.
- Building Paris syndrome Psychiatry Advisor.
- Learn to use Ollama, LM Studio, Opera Browser, and hosting on local large language models.
- Building and deploying the application.
- Testing and feedback form a vast community.
First Omdena Local Chapter Project?
Beginner-friendly, but also welcomes experts
Education-focused
Duration: 4 to 8 weeks
Open-source
Your Benefits
Address a significant real-world problem with your skills
Build your project portfolio
Access paid projects (as an Omdena Top Talent)
Get hired at top organizations
Requirements
Good English
Suitable for AI/ Data Science beginners but also more senior collaborators
Learning mindset
Application Form
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