Ceilao grid

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land measure using AR
land measure using AR
Rendering plants for best visualization
ChatBot
Price Prediction
Our Crops
Crops details

Inspiration

Nowadays, vegetables sold in the market are often full of harmful pesticides and chemicals, which contribute to a rise in health problems. Meanwhile, millions of households have small unused patches of land (backyards, balconies, or rooftops) that people dismiss as “too small to grow anything useful.”

We refused to accept that.
What if we could prove — in under 60 seconds — that even a 2×3 meter space can produce chemical-free food worth $30–100 per season, while generating real extra income?
That frustration and that vision became Ceilao Grid.

What it does

Ceilao Grid is a mobile app that transforms any small unused space into a profitable, sustainable micro-farm using Augmented Reality, AI, and hyper-local market intelligence.

Core Features

AR Land Scanner
Point your phone camera → instantly measures your available land area with centimeter-level accuracy using Google ARCore.
Smart Crop Recommendation Engine
Detects your exact location and recommends the most suitable + profitable crops for your climate, soil type, and current season.
Real-Time Price Forecasting
Predicts wholesale and retail prices for the next 3 months using live market data from Sri Lanka’s major vegetable trading hubs.
Instant Profit Calculator
After scanning your land and choosing a crop, the app instantly shows:
- How many plants fit
- Expected yield (kg)
- Total revenue potential
- Input costs (seeds, fertilizer)
- Net profit
  → Example: “Your 6 m² backyard → 45 chili plants → 60 kg harvest → $80–120 profit in 90 days”
AI Farming Assistant (Chatbot)
24/7 multilingual chatbot (English + Sinhala) that answers real farming questions like “When should I plant tomatoes?” or “How do I control caterpillars naturally?”
Weather-Adaptive Guidance
Integrates live weather data to send personalized watering, pest alerts, and planting tips.

How we built it

Language: Kotlin (Android)
AR Measurement: Google ARCore + Sceneform
UI: Jetpack Compose
Backend: Firebase Firestore, Authentication & Cloud Functions
Price Prediction: Custom web scraper + time-series regression model trained on 24 months of Sri Lankan vegetable market data
Crop Database: 40+ crops with spacing, yield, growth cycle, and regional suitability
AI Chatbot: Dialogflow CX with custom Sinhala intents trained on local farming language
Weather: OpenWeatherMap API

Challenges we faced

Making AR land measurement accurate and fast on low-end Android phones common in emerging markets.
Collecting and cleaning real-time vegetable price data across Sri Lanka’s fragmented markets.
Training an AI chatbot to understand Sinhala farming dialect and colloquial terms.
Designing an intuitive flow for non-tech-savvy users (including elderly gardeners).

Accomplishments we're proud of

First app in Sri Lanka that uses AR to turn square meters into real money.
During beta testing: 93% of users said they would start growing after seeing their profit projection.
Promotes food security, reduces chemical exposure, and creates supplementary income — all from unused home spaces.