Javlonbek1233

Javlonbek1233 / Scaner

Public
45
0
69% credibility
Found May 18, 2026 at 45 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

NeuroScan AI is a personal health tracking web application with a futuristic, cyberpunk-inspired design. It allows users to sign in securely, log daily health metrics like water intake, sleep, activity, and mood, view their data through beautiful visualizations including a Vitality Score gauge and activity charts, receive AI-powered health insights and personalized tips, and chat with an AI health assistant called Neuro-Doc. The app stores all health data privately in each user's personal space and uses Google AI to generate smart recommendations based on tracked habits.

How It Works

1
🔍 You discover NeuroScan AI

You hear about a futuristic health app that tracks your sleep, water, and activity while giving you personalized AI insights.

2
🔐 You sign in with Google

With one click using your Google account, your secure personal health space is created instantly.

3
📊 Your health dashboard comes alive

A beautiful dashboard shows your Vitality Score, activity charts, and real-time health metrics all in one place.

4
You explore your health tools
💧
Log your water intake

Tap to record each glass of water and watch your hydration progress fill up.

🌙
Check your sleep stats

See how well you slept, including deep sleep and REM cycles.

🏃
Track your activity

Log your daily movement and see it appear on your activity chart.

5
🤖 AI analyzes your health data

The app's smart assistant reviews your logs and gives you personalized tips to feel your best.

6
💬 You chat with your health assistant

Have questions? Talk to the Neuro-Doc chatbot for friendly, helpful health guidance anytime.

🎉 You're building healthier habits

With daily tracking and AI support, you're making steady progress toward your wellness goals.

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Star Growth

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AI-Generated Review

What is Scaner?

Scaner is a web-based health tracking dashboard that calls itself NeuroScan AI. It logs sleep, water intake, activity, and mood, then uses Google's Gemini AI to generate personalized health insights and recommendations. Built with React and TypeScript, it connects to Firebase for authentication and data storage, giving each user a private dashboard they can access via Google login. The interface has a dark, cyberpunk aesthetic with glowing cyan accents and glass-effect panels. You can log daily metrics, view them in charts, and chat with an AI assistant that speaks in the voice of a futuristic health advisor. Voice input is also supported for hands-free logging.

Why is it gaining traction?

The main hook here is the AI integration. Instead of just storing numbers, this app analyzes your health data and tells you things like "your neural recovery is 14% higher than your 7-day average." That kind of language feels sci-fi, but it maps to real metrics. The chatbot adds a layer of interactivity most basic health trackers lack. The UI is genuinely striking too -- the dark theme with animated elements makes tracking feel more like monitoring a spaceship than filling out a medical form. For developers who want a starting point for an AI-powered health app, this provides a working frontend with real Google Cloud integrations already wired up.

Who should use this?

Health-conscious developers who want a reference implementation for building AI-assisted wellness apps. If you've been curious about integrating Gemini into a React project with Firebase backend, this repo shows the pattern. Hobbyist developers building personal health dashboards will find the UI components useful as a starting point. However, anyone looking for production-ready health tracking software should note this is a personal project with minimal documentation and no visible test suite.

Verdict

With only 45 stars and that credibility score hovering just above zero, this is firmly in "early experiment" territory. The code works, the AI features are functional, and the design is memorable -- but there's no documentation beyond a basic setup guide and the README was clearly auto-generated. Use it as inspiration or a learning resource, not as a foundation for anything critical. Check the commit history and issues before committing your own time to it.

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