Objective – Enhancement of the existing android & iOS farmer apps for a European client. The platform enables users in wine plantation image capturing, tagging and uploading to the app. It allows users to click images and instantly tag them to various nutrient, bacterial and fungal stress categories of a plant.
Solution: Native Android, iOS apps which leverages ML/AI/AR to assess state of vineyards using a SaaS platform
Features:
1. Designed a smooth sample capturing and tagging interface
2. Integrated a Machine Learning algorithm for image classification using android tensorflow library
3. Created Product tour feature post user registration or first time login
4. Alerts & Notifications feature using backend APIs
Impact:
Increased user registrations by 3x in a span of 3 months post an enriching experience for the users
