Carry Buddy

• 

  web interface

AI Assistant & Automation Track

Inspiration

It was finals week—piles of notes, sleepless nights, and that one thought gnawing at me: "I have a flight tomorrow... and I haven’t packed a thing."

By the time exams ended, my brain was fried. I threw random clothes into a suitcase, forgot my charger (of course), and landed in Bali with no sunscreen (hello, lobster-red skin).

That’s when it hit me: What if an AI buddy could just... figure it all out for me?

What it does

Inputs: Destination, stay duration, planned activities Smart Outputs: Real-time weather-based packing list Personalized routines based on the weather data and activities

How we built it

Frontend: Streamlit (lightweight & interactive) Backend: AI model accessed through AWS Bedrock + Weather API integration

Challenges we ran into

Connecting AI model ↔ Weather API ↔ Chatbot seamlessly

Accomplishments that we're proud of

Built a functional web app in record time Delivered hyper-personalized packing lists

What we learned

Streamlit = fast prototyping! AWS AI services = scalable power

What's next for Carry Buddy

Unsplash API: Visual previews of recommended spots Expanded weather data (hourly forecasts, UV index) Travel plan customization + ML-driven improvements User feedback loop to refine recommendations

Built With

• awsbedrock
• claude
• python
• streamlit
• weatherapi