AgroAnalyse
AI / Computer Vision / Agriculture
This is a prototype under active developer testing, not yet a finished commercial product.
Project Overview
AI-powered application designed to detect diseases affecting plants, fruits and vegetables and provide a complete diagnostic.
The Problem
Farmers and growers often lack a fast, accessible way to identify diseases affecting their plants, fruits and vegetables before they spread.
The Objective
Build an AI-powered application able to analyze images of plants, fruits and vegetables and return a complete diagnostic with agricultural recommendations.
My Approach
- •Photo capture directly in the app, or upload from the gallery
- •Live AI analysis powered by Gemini 2.5
- •Result screen with a health verdict and confidence score (e.g. 98% confidence)
- •Detailed diagnostic description available on request
- •Full history of past analyses, kept on the device
- •Bilingual FR/EN onboarding
Technology
Architecture
A React Native/Expo app with no backend server of its own; analysis history is stored locally on the device via AsyncStorage, and each photo is sent for live analysis to Google's Gemini 2.5 model. Deployment is planned via EAS, targeting TestFlight for iOS first.
Screenshots
Challenges
Getting a reliable diagnosis even from a blurry photo, and keeping Gemini's response time fast enough for a smooth experience.