I have created a travel plan generator application in which it gives a day by day travel itineray from the user inputs such as destination, days, budget, travel style, interests, extra notes. It gives a trip summary with daily Morning/Afternoon/Evening, estimated daily budget, transport tips, packing checklist, and 3 safety tips.

Travel Plan Generator

AI-powered Travel Plan Generator (Streamlit)

This project is a Streamlit web app that generates day-by-day travel itineraries based on user inputs such as destination, trip length, budget, travel style and interests. It uses an LLM (via OpenAI or OpenRouter) to produce a human-readable Markdown plan and allows downloading the result.

Table of Contents

• About
• Features
• Getting Started
• Prerequisites
• Configuration (API key)
• Usage
• Project Structure

About

The app creates realistic, budget-aware itineraries with daily morning/afternoon/evening suggestions, estimated daily budget, transport tips, packing checklist and safety notes.

Features

• Streamlit UI for entering trip details
• Generates day-by-day Markdown itineraries
• Supports OPENAI_API_KEY or OPENROUTER_API_KEY
• Download the generated plan as a .md file

Getting Started

Prerequisites

• Python 3.8+
• A virtual environment (recommended)
• The Python dependencies listed in requirements.txt

Configuration (API key)

The app requires an LLM API key. Provide one of the following:

• Streamlit secrets file: create ./.streamlit/secrets.toml with:

   OPENAI_API_KEY = "your_openai_key"
   # or
   OPENROUTER_API_KEY = "your_openrouter_key"

• Or set an environment variable before running:

   export OPENAI_API_KEY="your_openai_key"
   # or
   export OPENROUTER_API_KEY="your_openrouter_key"

Usage

Create and activate a virtual environment, install dependencies, then run the Streamlit app from the project root:

python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
streamlit run app.py

Run the commands from the repository root so ./.streamlit/secrets.toml is discovered.

Project Structure

• app.py — Streamlit application and UI
• planner.py — Core logic that calls the LLM and formats the itinerary
• requirements.txt — Python dependencies
• readme.md — This file
• .venv/ — optional virtual environment (not committed)