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Daniel Ioni
Daniel Ioni

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🤖 MyZubster AI Automation: Building an Intelligent System for Smart Agriculture

#ai #automation #agriculuture #building

🤖 MyZubster AI Automation: Building an Intelligent System for Smart Agriculture
Introduction

MyZubster is an open-source ecosystem that combines three fundamental elements: a global plant map, privacy-first payments with Monero, and human-centered AI. In this article, I'll share how I built an AI automation system that automatically manages GitHub, Telegram, and the smart garden.
The Problem

Managing an open-source project like MyZubster means facing daily challenges:

Too many issues requiring manual triage on GitHub

Bounties to create and manage one by one

Slow communication with contributors

Manual monitoring of repositories

Garden data to analyze and interpret
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The Solution

I built a modular AI automation system that:

Monitors GitHub in real-time

Analyzes issues with AI models (Gemma, Llama, DeepSeek)

Creates bounties automatically

Sends notifications via Telegram

Manages smart garden data
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System Architecture
text

┌─────────────────────────────────────────────────────────────┐
│ MyZubster AI Automation │
├─────────────────────────────────────────────────────────────┤
│ │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
│ │ Telegram │ │ GitHub │ │ AI Models │ │
│ │ Bot Handler │ │ Monitor │ │ │ │
│ └──────────────┘ └──────────────┘ └──────────────┘ │
│ │ │ │ │
│ └─────────────────┼──────────────────┘ │
│ │ │
│ ┌────────▼────────┐ │
│ │ Automation │ │
│ │ Orchestrator │ │
│ └─────────────────┘ │
│ │ │
│ ┌─────────────────┼──────────────────┐ │
│ │ │ │ │
│ ┌──────▼──────┐ ┌───────▼───────┐ ┌──────▼──────┐ │
│ │ Database │ │ Backend │ │ Frontend │ │
│ │ (MongoDB) │ │ (Node.js) │ │ (React) │ │
│ └─────────────┘ └───────────────┘ └─────────────┘ │
│ │
└─────────────────────────────────────────────────────────────┘

Technology Stack
Core Technologies

Node.js - Runtime and API server

Express - Backend framework

MongoDB - Database

React - Frontend with Leaflet maps
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AI Stack

Ollama - Local AI model management

Gemma 2B - Google's lightweight model (default)

Llama 3.2 - Meta's powerful model (fallback)

DeepSeek R1 - Reasoning model (fallback)
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Automation Stack

node-telegram-bot-api - Telegram integration

Octokit - GitHub API client

node-cron - Scheduled tasks

systemd - Production service management

Winston - Structured logging
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🤖 The Telegram Bot

The Telegram bot (@myzubster_bot) is the main interface for the community. It supports the following commands:
Command Description
/start Welcome message
/status System status
/bounties Active bounties
/github Recent GitHub activity
/analyze [ID] AI analysis of an issue
/gardenstats [ID] Smart garden statistics
/gardendata [ID] Real-time garden data
/help Show available commands
AI Analysis Example

When you send /analyze 12, the bot fetches issue #12 from GitHub and generates a structured analysis:
text

📋 Issue Analysis - #12

Title: [DOCS] Smart Garden Practical Guide
State: open
Labels: docs, enhancement
Created: 31/07/2026

Analysis:
• Complexity: Medium
• Priority: Medium
• Suggested Approach: Review the issue description and check for similar issues before implementation.
• Estimated Effort: 4-8 hours

🌱 Smart Garden Features

The system now supports smart garden monitoring with sensors:
Garden Statistics

The /gardenstats command provides comprehensive statistics:
text

🌱 Garden Statistics - #123

📊 Average Data:
• pH: 6.8
• EC: 1200 µS/cm
• Temperature: 22.5 °C
• Humidity: 65%

📈 Trend:
• pH: stable
• EC: increasing
• Temperature: stable

📅 Last Update: 31/07/2026 14:30

Real-time Data

The /gardendata command shows live sensor readings:
text

📡 Real-time Data - Garden #123

🌡️ pH: 6.8
⚡ EC: 1200 µS/cm
🌡️ Temperature: 22.5 °C
💧 Humidity: 65%

🕐 Updated: 31/07/2026 14:30

🐙 GitHub Integration

The system automatically monitors GitHub repositories and:

Detects new issues in real-time

Analyzes issue content with AI

Creates bounties automatically for labeled issues

Sends notifications to Telegram

Tracks PRs and comments
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🧠 AI Orchestrator

The AI Orchestrator is the brain of the system, designed for flexibility and resilience:
Multi-Model Support

Gemma 2B - Fast and lightweight (default)

Llama 3.2 - More powerful (fallback)

DeepSeek R1 - Advanced reasoning (optional)
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Automatic Fallback

If one model fails, the system automatically switches to the next available model, ensuring continuous operation.
Structured Analysis

The AI provides:

Summary (1-2 sentences)

Complexity (Low/Medium/High with reasoning)

Priority (Low/Medium/High with reasoning)

Technical Approach (step by step)

Estimated Effort (in hours)

Dependencies

Potential Risks
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📊 Results Achieved
Metric Before After
Issue response time 24-48 hours < 5 minutes
Bounty creation Manual (2-3 days) Automatic (5 minutes)
Contributor notifications Manual emails Automatic Telegram
Time spent on triage 5+ hours/week 0 hours (automated)
📁 Project Structure
text

services/ai-automation/
├── src/
│ ├── telegram/
│ │ └── bot.js # Telegram bot handler
│ ├── github/
│ │ └── monitor.js # GitHub monitor
│ ├── ai/
│ │ └── orchestrator.js # AI orchestrator
│ └── orchestrator/
│ └── index.js # Main orchestrator
├── logs/
│ ├── combined.log # General log
│ └── error.log # Error log
├── scripts/
│ └── ... # Utility scripts
├── .env.example # Configuration template
├── index.js # Entry point
├── package.json
├── create-issues.js # GitHub issues creator
└── README.md

🔧 Installation
bash

Clone the repository

git clone https://github.com/MyZubster-Ecosystem/myzubster.git
cd myzubster/services/ai-automation

Install dependencies

npm install

Configure environment

cp .env.example .env

Add your tokens: TELEGRAM_BOT_TOKEN, GITHUB_TOKEN

Start the system

npm start

🔗 Useful Links

GitHub Repository: https://github.com/MyZubster-Ecosystem/myzubster

Telegram Bot: https://t.me/myzubster_bot

Documentation: https://github.com/MyZubster-Ecosystem/myzubster/tree/main/docs

Telegram Channel: https://t.me/myzubster
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📝 Tags

AI OpenSource NodeJS Automation Telegram GitHub MachineLearning JavaScript DevOps Gardening IoT Monero
🙏 Acknowledgments

@foxxx009 - For the outstanding work on the 5 bilingual documents

@leanworld7-netizen - For the escrow gateway implementation

MyZubster Community - For support, feedback, and enthusiasm

Open Source Community - For all the incredible tools
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Built with ❤️ by the MyZubster Team

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