All work
AI Mobile Product2026·AI
FieldLens
AI-powered, offline-first farming assistant for Turkish farmers.
An AI-assisted field product making crop diagnosis and regional guidance accessible on mobile.
FlutterRiverpodTensorFlow LiteFirebase
Category
AI
Year
2026
Role
Product Design & Development
Status
Active Development
Stack
4 tools
Problem
Connectivity is often weakest when farmers most need help. Expert guidance has to remain available in low-signal conditions.
Delivered surfaces
- Flutter mobile product
- Offline model integration
- Farmer-centered AI experience
Approach
- I kept the diagnosis flow as short as possible and simplified the path from visual input to decision.
- I treated the offline-capable model and guidance layer as a core product promise.
- I brought Turkish and regional context directly into the product experience.
Outcomes & Impact
- It brings expert guidance closer to the field: faster and more accessible.
- It preserves product value even in low-connectivity scenarios.
Product Snapshots
FieldLens
01
Disease diagnosis flow
02
Regional calendar and guidance
03
Offline decision surface
What I Learned
- In AI products, trust comes not only from model quality but also from how uncertainty is communicated to the user.
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