LittyPicky is a community-driven platform designed to gamify litter collection and improve environmental cleanliness. Users can report litter, verify cleanups, and compete on leaderboards, fostering a social effort to keep neighborhoods clean.
See it live:
https://littypicky.app
- Litter Reporting: Users can identify and report locations of litter using an interactive map.
- Cleanup Verification: Community members can clean up reported litter and submit proof for verification.
- Social Feed: Share cleanup achievements, post updates, comment, and like other users' activities.
- Gamification & Leaderboards: Earn scores for reporting and cleaning up litter. Compete with others on global and local leaderboards.
- User Profiles: Track your contributions and history.
Built with performance and reliability in mind using Rust.
- Framework: Axum (High-performance async web framework)
- Database: Postgis (Data persistence for users, reports, and feeds)
- Storage: AWS S3 compatible object storage for image assets (Minio).
- Authentication: Secure user authentication using JWT, Argon2, and OAuth2/OpenID Connect.
- Documentation: Auto-generated OpenAPI/Swagger documentation.
A modern, responsive web interface built with SvelteKit.
- Framework: SvelteKit (Full-stack web application framework)
- Styling: Tailwind CSS (Utility-first CSS framework)
- Maps: Leaflet (Interactive maps for reporting and viewing litter locations)
- Deployment: Configured for Cloudflare (Edge deployment).