Frequently Asked Questions

The AI Travel Planner is a web-based application built with Django, LangChain, and travel APIs that generates personalized, day-wise travel itineraries based on your destination, budget, duration, and preferences.

Once you provide your trip details, the system validates your inputs, fetches real-time data from travel and weather APIs, and uses an LLM via LangChain to build an optimized day-wise itinerary with activities, food suggestions, and cost estimates.

You need to provide your destination, trip dates or duration, and budget range. Optionally, you can specify preferences like adventure vs relaxation, cultural focus, food interests, and preferred travel pace.

The system generates a structured day-wise plan including sightseeing, local experiences, food recommendations, estimated daily costs, and weather-aware suggestions.

Yes. It integrates weather and travel APIs for forecasts, approximate attraction costs, local transport and meal estimates, and seasonal advisories.

Yes. You can change your budget, duration, or preferences and regenerate a new plan. You can also tweak individual days or request alternate suggestions for specific activities or meals.

The stack includes Django for backend, LangChain for AI orchestration, an LLM provider (such as OpenAI), travel and weather APIs for data, Tailwind CSS and JavaScript for the frontend, and Django ORM with SQLite or PostgreSQL for data persistence.

No. The AI Travel Planner focuses on planning and recommendations. It does not perform direct bookings or handle payments. You can use the itinerary as a guide for booking on external platforms.

The architecture is designed to be scalable, with modular LangChain pipelines, Django-based backend, and support for caching and containerization. With proper infrastructure and API key management, it can be extended to production use.

It is ideal for travelers who want personalized itineraries, for startups exploring AI-based travel products, and for showcasing end-to-end skills in Django, LangChain, and travel API integrations.