Inspiration
Every day, I saw usable items like food, clothing, and furniture being thrown away while others struggled to find those same essentials. I wanted to build a direct bridge between surplus and need, turning waste into community support and fostering local connections.
What it does
Community Share Hub is a donation-matching platform I built. Users can create a profile and list items they want to give away or post requests for things they need. The app uses a matching algorithm to suggest the most relevant connections based on item descriptions and location. It makes giving and receiving simple and transparent.
How I built it
- Frontend: Streamlit for an interactive and clean web interface
- Backend: Python for application logic and user session management
- Matching Algorithm: I implemented TF-IDF vectorization to calculate similarity between needs and donations
- Data Storage: JSON files for user data, item listings, and profiles
- Location & Filtering: Distance-based user matching to encourage local sharing
Challenges I ran into
- Designing an accurate matching algorithm that understands user descriptions
- Managing user sessions and data persistence effectively as a solo developer
- Simplifying the user flow to make posting and matching feel effortless
- Balancing detail and simplicity in item listings for better matches
Accomplishments that I'm proud of
- Creating a functional, intuitive prototype that solves a real-world problem completely on my own
- Implementing a matching system that actually works based on text similarity
- Building a platform that encourages sustainability and community support
What I learned
- The importance of user experience in encouraging community participation
- How text-based similarity matching can be effectively used for resource allocation
- The challenges of building trust and transparency in community-driven platforms
- How to balance technical functionality with human-centered design as a solo developer
What's next for Community Share Hub
- Implementing real-time notifications for new matches and messages
- Developing a mobile app version for greater accessibility
- Partnering with local organizations to expand community reach
Built With
- python
- streamlit
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