Javlonbek1233

Javlonbek1233 / Amaliy-ish-6

Public
43
0
85% credibility
Found May 22, 2026 at 43 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

GreenRoom is a plant care management application with a cyberpunk terminal aesthetic. Users sign in with Google, create gardens organized by room, add their plants with watering schedules, and receive AI-powered lighting recommendations. The app tracks plant hydration levels, reminds users when plants need water, and stores everything securely in the cloud so users can manage their indoor garden from anywhere.

How It Works

1
🌿 You discover GreenRoom

You find a sleek, futuristic app that looks like a command terminal but is actually a plant care system. The cyberpunk design catches your eye.

2
🔐 You sign in with Google

A single button labeled 'Initialize OS' connects your Google account, keeping your plant data secure and private.

3
🏠 You create your first garden

You set up a garden for a room in your home, like 'Living Room' or 'Bedroom', organizing your plants by location.

4
🌱 You add your plants

For each plant, you enter its species, give it a fun nickname like 'Monty', and set how often it needs watering.

5
You get AI-powered advice
💡
Lighting tips

You learn exactly how much light your plants need and where to place them

⏰
Light schedule

You get a recommended daily light schedule for your plants

6
💧 You track and water your plants

The app shows hydration levels with visual bars. When a plant is thirsty, you tap 'Engage Irrigation' to log that you've watered it.

✨ Your plants thrive

With organized tracking, AI recommendations, and easy watering logs, your indoor garden is healthier than ever.

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Star Growth

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AI-Generated Review

What is Amaliy-ish-6?

Amaliy-ish-6 is a plant monitoring dashboard with a cyberpunk terminal aesthetic. Built in TypeScript with React, it lets you track your houseplants across multiple "gardens" (rooms), monitor watering schedules, and get AI-powered lighting recommendations. The backend runs on Express with Vite, while Firebase handles authentication and real-time data sync. You sign in with Google, create gardens for different rooms, add plants with species and watering frequency, and the app calculates hydration levels based on time since last watering. The standout feature is an AI endpoint that queries Gemini to generate lighting advice tailored to your plant species and room conditions.

Why is it gaining traction?

The visual design is distinctive -- a dark, terminal-style interface with neon green accents that makes plant care feel like running a space station. The AI lighting recommendation engine is genuinely useful: feed it your plant and room type, get actionable advice on lumens, photoperiod, and placement. The drag-and-drop "mapping simulation" mode adds a playful element for visualizing plant layouts. Real-time Firestore sync means your data stays consistent across sessions without manual refreshes.

Who should use this?

Indoor plant enthusiasts who want structured tracking beyond a spreadsheet. Home growers managing multiple species across different rooms. Developers who appreciate the aesthetic and want to customize or extend the AI recommendation logic. Not suitable for commercial greenhouse operations -- this is a personal use tool with no batch operations or export features.

Verdict

At 43 stars with minimal documentation, Amaliy-ish-6 shows promise but feels like an early-stage side project. The credibility score of 0.85% reflects this maturity level. If you want a polished, production-ready plant tracker, look elsewhere. If you're a developer interested in the AI + Firebase + React stack or want to build on top of this foundation, it's worth a closer look. The core concept works; the execution needs more love.

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