Food Expiration Forecaster for Smart Fridges​

• 

  Website

Inspiration

• Food Waste Reduction
• Saving money

What it does

Our project predicts how many days a food item will last based on its type, storage temperature, and humidity.

How we built it

We used:

• Python + Pandas for data wrangling
• Gradio to create a clean, interactive web UI
• A dataset of 10,000+ food entries

Challenges we ran into

• Ensuring case-insensitive food input
• Finding the sweet spot between model performance and user experience

Accomplishments that we're proud of

• Working as a team and pulling it all together
• Getting the program to run

What we learned

• How to create an interactive UI with Gradio
• Teamwork and collaboration

What's next for Food Expiration Forecaster for Smart Fridges​

• Integrate with real IoT smart fridges
• Use more data to make better predictions
• Give more food type options for the user

Built With

• google-colab
• gradio
• panda
• python