Inspiration
Improper waste disposal is a major urban problem that impacts recycling efficiency and the environment. Many people are unsure which bin to use, causing contamination and poor waste management.
What it does
WasteWise is an AI-powered assistant that helps users sort waste correctly. You can type the name of a waste item, and the app will tell you which bin to use — recyclable, organic, hazardous, or e-waste.
How we built it
We used Python with Streamlit for building the user interface. A JSON-based lookup system matches waste items to the correct bin using simple logic. For future updates, we plan to add image-based classification using pre-trained AI models.
Challenges we ran into
- Creating a comprehensive waste item database
- Ensuring accurate classification with simple input
- Keeping the UI clean, minimal, and informative
Accomplishments we're proud of
- Built a working MVP within a short time
- Created a useful tool that promotes environmental awareness
- Designed a user-friendly interface for all age groups
What we learned
- How to integrate Streamlit for rapid UI development
- Basics of AI classification logic for real-life use
- Importance of user-centric design
What's next
- Add image recognition for waste items
- Integrate location-based recycling tips
- Expand the waste database with NLP or crowd-sourced input
