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02.1Case file/projects/i-share/
sheet 02 of 06
i-Share
Co-buying with the people around you
- role
- Sole developer
- context
- Final Year Project
- scope
- 2025 — 2026
- result
- Cross-platform mobile app
Dependencies
- Flutter
- Dart
- Firebase Authentication
- Firestore
- Google Maps API
Changelog
- GPS-based matching connects co-buyers who live near each other
- co-buying requests on a Google Map, by how close they are
- group chat, QR-code attendance checks and a credibility score
01
The problem
People nearby could share bulk purchases and split the cost, but finding others in the same area who want the same thing takes effort. i-Share puts those co-buyers in one place: a C2C platform for sharing retail products within a local community.
02
My role
Sole developer, as my Final Year Project (2025 — 2026). I took it through the whole lifecycle: requirements, system design, development, testing and deployment.
03
What it does
- Nearby co-buyers — GPS-based geolocation matching connects people close to each other, so finding interested participants takes less effort.
- A map of requests — the Google Maps API shows co-buying requests on an interactive map, by proximity.
- Real-time data — Firebase Firestore keeps everyone in sync; Firebase Authentication manages users securely.
- Trust between strangers — group chat, QR-code attendance verification at hand-over, and a credibility scoring system.
04
Links
GitHub repopending · Demo videopending · FYP report (PDF)pending