5000+ Computer Science Projects | Degree | Diploma | MCA | BCA

Event, Travel & Ticket Booking
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AI Travel Itinerary Optimizer

Objective

To build an intelligent web or mobile application that creates personalized travel itineraries using AI & ML algorithms, optimizing based on user preferences, budget, time, weather, and local events.

Key Features

Module	Feature
User Module	Sign up/login, profile with travel preferences
Destination Search	Enter destination, trip duration, budget, interests
AI-Powered Itinerary Generation	Suggests daily plans with attractions, restaurants, activities
Smart Optimization	Considers distance, traffic, opening hours, weather, local events
Multi-Mode Travel Support	Solo, family, business, group trips
Budget Planner	Estimates trip cost, recommends cost-saving options
Customization	Users can drag/drop/change itinerary items
Maps & Routes	Integrated Google Maps for optimized travel routes
Booking Integration	API links for flights, hotels, tours
Recommendations Engine	Suggests best restaurants, attractions, and local events
Feedback & Ratings	Users can rate suggested itineraries for better AI learning
Admin Panel	Manage destinations, categories, events, and user feedback

Technology Stack

Layer	Technology Options
Frontend	React / Vue / Angular, Bootstrap, Tailwind CSS
Backend	Node.js (Express) / Django / Spring Boot
Database	MongoDB / PostgreSQL / MySQL
AI/ML	Python (scikit-learn, TensorFlow, PyTorch) for itinerary optimization
Recommendation Engine	Collaborative + Content-based filtering
APIs	Google Maps API, Skyscanner API, OpenWeather API, Eventbrite API
Hosting	AWS / GCP / Azure / Vercel / Netlify
Authentication	JWT / OAuth 2.0 / Firebase Auth

Workflow

Itinerary Creation Flow

User signs up/logs in
Enters destination, trip duration, budget, preferences (nature, history, nightlife, food, adventure, etc.)
AI engine analyzes preferences + weather + distance + events
Generates daily itinerary with time slots and optimized routes
User can customize (add/remove/change order)
Itinerary saved in dashboard + option to export (PDF, Email, App)

AI Optimization

Uses graph algorithms (shortest path/Dijkstra) for route optimization
ML models to predict best attractions based on user similarity (collaborative filtering)
Adjusts plan dynamically if weather forecast changes

Admin Flow

Admin login → Dashboard
Manage attractions, hotels, restaurants, events
Monitor user activity and popular itineraries
Analyze feedback to improve AI models

User Roles

Role	Permissions
User	Generate itineraries, customize plans, book hotels/flights, save/export itineraries
Admin	Manage data sources (places, events, restaurants), monitor feedback, update AI suggestions

Security Features

Secure login with JWT / OAuth
Data encryption for sensitive travel data
Rate limiting for API calls
Admin role-based access
Protection against fake bookings & spam itineraries

Analytics (Admin Dashboard)

Metric	Description
Popular Destinations	Which cities/places users plan most
Common Preferences	Adventure vs Culture vs Food lovers
Budget Ranges	Avg. budget per trip
AI Success Rate	% of users satisfied with itinerary
Feedback Trends	User suggestions to improve models
Bookings Conversion	How many itineraries led to actual bookings

What You Get

AI-powered personalized itinerary creation
Smart optimization (time, weather, distance)
Customizable drag-and-drop itinerary
Maps integration with optimized routes
Budget & cost estimator
Export to PDF / Email / Calendar
Booking integration with flights/hotels
Admin dashboard for data & feedback management

Why Choose This Project?

Combines AI/ML + Travel Industry use case (real-world relevance).
Showcases recommendation systems, route optimization, and integration of APIs.
Highly practical for tourism startups, academic projects, or hackathons.
Demonstrates full-stack + AI integration → valuable for portfolio & career growth.