🧳 Travel Packing List Generator

A simple and interactive Travel Packing List Web Application built using Python and Streamlit.

The application generates a customized packing checklist based on trip duration, weather conditions, and trip type. Users can review suggested items, uncheck items they don't need, and download the final packing list.

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🚀 Live Demo

Try the application instantly without installing anything.

📸 Application Preview

🌐 Live Website: https://travel-packing-list.onrender.com/

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🔥 Features

• 🧠 Smart packing suggestions based on trip details

• 🌦 Weather-based recommendations (Hot / Cold / Rainy)

• 🧳 Different suggestions for Vacation, Business, and Adventure trips

• 📋 Organized packing checklist with categories:

  • Essentials
  • Clothing
  • Trip Gear
  • Daily Clothing

• ✅ Users can select or deselect suggested items

• 📄 Download selected items as a formatted packing list

• 🌐 Fully deployed online using Render

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🧰 Technologies Used

• Python 3
• Streamlit
• Render (Deployment)

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▶️ How to Run This Project

You can run this project in three different ways.

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1️⃣ Run the Live Demo (Recommended)

Simply open the deployed website:

https://travel-packing-list.onrender.com/

No installation required.

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2️⃣ Clone the Repository (Developer Method)

Clone the project using Git:

git clone https://github.com/Majji-Rohit/travel-packing-list.git

Move into the project folder:

cd travel-packing-list

Install required libraries:

pip install -r requirements.txt

Run the application:

streamlit run app.py

Open in browser:

http://localhost:8501

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3️⃣ Download ZIP and Run (Beginner Method)

1. Open the GitHub repository
2. Click Code → Download ZIP
3. Extract the ZIP file
4. Open the folder in terminal or VS Code

Install dependencies:

pip install -r requirements.txt

Run the application:

streamlit run app.py

Open in browser:

http://localhost:8501

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📂 Project Structure

travel-packing-list/
├── app.py            # Main Streamlit application
├── requirements.txt  # Python dependencies
└── README.md         # Project documentation

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📌 Future Improvements

• Export packing list as PDF
• Save previous packing lists
• Integrate weather API for real-time weather
• Improve mobile UI experience

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📃 License

Free to use for personal and educational purposes.