Dynamic Living Itinerary – A Real-Time Adaptive Travel Planner
Link to Live Project: https://github.com/PalashSahuji/Presentation
Project Title:
Dynamic Living Itinerary – An AI-powered Real-Time Travel Companion
Problem Statement Reference:
Track 3 – Problem Statement 14: Create a "living itinerary" system that dynamically adjusts a traveler’s plans in real-time based on live events and user feedback.
Problem Description:
Travelers often rely on static itineraries that fail to adapt when real-life conditions change. Delays due to traffic, sudden weather changes, or exciting local events can make existing plans ineffective and frustrating. There is a need for a system that can dynamically adjust travel schedules in real-time while considering user preferences.
Proposed Solution:
We propose an AI-powered Dynamic Living Itinerary System that creates and continuously updates travel itineraries using real-time data.
-
Generates a personalized itinerary based on user profile (interests, budget, duration).
-
Integrates APIs for maps, weather, traffic, and events to dynamically adjust plans.
-
Incorporates user feedback (skip, extend, add preferences) to re-prioritize activities.
-
Provides a visual interface (timeline + map view) with instant notifications when updates occur.https://docs.google.com/presentation/d/18BEyb5fvLXsd5HtqadVgBn4UCYmRoQvW/edit?usp=sharing&ouid=115293329079335775473&rtpof=true&sd=true
This build was uploaded as a hackathon project
