Agritech App Development
AI Farming Assistant in 9 Languages, Live in Multiple Countries
We built FasalVision — an AI-powered farming assistant app that helps smallholder farmers diagnose crop diseases, get personalized advice, and track weather — in their own language. Built with Flutter and Gemini AI, supporting 9 Indian and international languages. This is one of our flagship AI mobile projects.
Project Snapshot
| Client | FasalVision |
| Domain | AgriTech / Generative AI |
| Stack | Flutter, Firebase, Gemini AI |
| Platform | Android (Google Play Store) |
| Languages | 9 languages (Hindi, English + 7 more) |
| Reach | Live in multiple countries |
The Problem We Solved
India's smallholder farmers — over 100 million families farming plots under 2 hectares — lose an estimated 20–40% of crop yields annually to diseases and pests that could be managed with timely intervention. The barrier isn't money; it's information access.
Agricultural extension services are understaffed. Farmers in Bihar, Odisha, or Karnataka cannot easily call an agronomist when they see yellowing leaves on their paddy. They rely on neighbours' advice or delay action until the damage is obvious.
FasalVision's vision: put an agronomist in every farmer's pocket. The app had to work on low-end Android devices, in regional languages, with minimal data usage — and the AI had to give genuinely actionable advice, not generic Wikipedia-grade responses.
Our Approach
Gemini AI for multimodal crop advice — photo + text, in any language.
1. Multimodal crop diagnosis
We integrated Gemini's vision capability so farmers can photograph a diseased leaf or pest-damaged crop, describe their concern in plain language, and receive a diagnosis with treatment options — all in one prompt. The Gemini API processes image + text together, giving far more accurate advice than text-only queries against a crops database.
2. 9-language support without 9 codebases
We used Flutter's intl package with ARB localization files for UI strings, and passed Gemini a system prompt instructing it to respond in the user's selected language. This means agricultural advice is generated natively in Hindi, Bengali, Telugu, Marathi, Kannada, Tamil, Gujarati, Odia, and English — without pre-translating a database of answers.
3. Low-data, low-end device optimisation
FasalVision targets farmers using ₹5,000–₹8,000 Android phones on Jio 4G. We compressed the app bundle to under 18 MB, implemented image compression before API upload (reducing data cost per query by ~70%), and added graceful offline states — cached advice and weather data available without connectivity.
Technology Stack
| Mobile Framework | Flutter 3, Dart |
| AI Engine | Google Gemini API (multimodal: vision + text generation) |
| Backend / Auth | Firebase (Auth, Firestore, Remote Config) |
| Localisation | Flutter intl, ARB files — 9 languages |
| Weather | OpenWeatherMap API (GPS-based local forecast) |
| Image processing | Flutter image_compress before Gemini upload |
| Distribution | Google Play Store (Android) |
What Was Delivered
9 langs
AI advice in local languages
Multi-country
Live on Play Store globally
< 18 MB
App size, optimised for rural India
Gemini
Multimodal AI — photo + text diagnosis