MamiHealth.AI

<!-- MamiHealth Banner Section --> <div align="center"> <img src="Asset/logo.png" alt="MamiHealth Logo" width="180"/> </div> <h2 align="center"> 爱你妈咪 MamiHealth </h2> <p align="center"> Your AI Nutrition Companion — Make Better Food Choices, One Photo at a Time <br/> 你的 AI 饮食伙伴 —— 每一口之前，做出更健康的选择 </p> <br/> <!-- App Previews (Vertical Layout) --> <div align="center"> <img src="Asset/landing_page.jpg" alt="Landing Page" width="1000"/> <br/> <em>Landing Page</em> <br/><br/> <img src="Asset/chat_page.JPG" alt="Chat Interaction" width="1000"/> <br/> <em>Chat Interaction</em> <br/><br/> <img src="Asset/setting_page.JPG" alt="Settings Page" width="1000"/> <br/> <em>Settings Page</em> </div>

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💡 What is MamiHealth?

MamiHealth is an AI-powered nutrition companion designed for people managing chronic diseases, weight loss goals, or unhealthy eating habits due to busy lifestyles.

It turns a simple daily habit — taking a photo before meals — into a powerful health decision-making moment, with personalized food suggestions based on user profiles, health data, and medical risks.

Unlike calorie-counting apps, MamiHealth offers warm, empathetic, and behavior-friendly AI support that meets users where they are.

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🧭 System Workflow Overview

Below is a simplified workflow of how MamiHealth operates behind the scenes:

         ┌───────────────────────┐
         │   User takes photo    │
         └─────────┬─────────────┘
                   │
                   ▼
   ┌────────────────────────────────────┐
   │   AI analyzes the meal image       │
   │ (e.g. food type, calories, sodium) │
   └─────────┬──────────────────────────┘
             │
             ▼
  ┌────────────────────────────────────────┐
  │   Match with user health profile       │
  │  (e.g. diabetes, gout, weight goals)   │
  └─────────┬──────────────────────────────┘
            │
            ▼
  ┌──────────────────────────────────────┐
  │   Generate personalized suggestion   │
  │   (via warm Mami AI dialogue)        │
  └─────────┬────────────────────────────┘
            │
            ▼
  ┌──────────────────────────────────────┐
  │     Update long-term user archive    │
  │     (trend chart, risk history)      │
  └──────────────────────────────────────┘

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💻 Run Locally

git clone https://github.com/YourOrg/MamiHealth.git
cd MamiHealth
npm install

# Set up your API key
echo "GEMINI_API_KEY=your_api_key_here" > .env.local

npm run dev

Then open: http://localhost:5173

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🔐 Environment Variables

MamiHealth uses environment variables for secure access to backend services. Please create a .env.local file in the root directory of your project and configure the following keys:

| Key | Description | |-------------------|------------------------------------------------------------------------| | GEMINI_API_KEY | Required to access the AI backend (used for meal image understanding) | | NEXT_PUBLIC_ENV | (Optional) Set to production or development to toggle runtime modes |

Note: Never commit your .env.local file to version control.

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🎯 Target Users

MamiHealth is designed for high-intent health users who require simple, actionable meal-time support. Core personas include:

• 👨‍⚕️ Chronic Disease Managers
  Users managing conditions like gout, diabetes, high blood pressure, or fatty liver who require strict, ongoing dietary discipline.

• 👩 Weight Control Users
  Users with long-term weight loss or body composition goals, often cycling through willpower failures and seeking sustainable support.

• 🏙 Urban Professionals (外卖依赖者)
  Office workers aged 25–40, eating irregularly or ordering takeout daily, who want quick, smart nudges on what to eat, when, and how much.

• 👪 Health-aware Families
  Young parents or caregivers seeking nutritional guidance for children, pregnant women, or elderly family members.

Each user receives differentiated tone, nudging frequency, and behavior feedback from the AI based on their profile.

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🔬 B2B Use Cases

In addition to the consumer-facing app, MamiHealth is developing a suite of modular B2B features for integration across sectors:

• 🏥 Health Check Centers & Clinics
  Plug into post-screening health dashboards to provide AI-generated dietary suggestions based on lab results + user photos.

• 🏢 Corporate Wellness Platforms
  Provide nutrition nudges & tracking tools for employees with gamified meal scoring, weekly trend reports, and anonymized group insights.

• 🛡️ Insurance & Health Risk Scoring
  License user behavior models for diet-based underwriting, chronic condition risk detection, and long-term health scoring.

• 🥗 Nutrition & Food Brands
  Provide AI-driven targeted recommendation engine to suggest healthier substitutes based on user needs (e.g. low-sodium sauce for hypertensive user).

• 📚 Schools, Gyms, & Lifestyle Communities
  Deploy simplified front-end meal tracking & suggestion widgets to groups with custom rulesets (e.g. sports teams, children, vegans).

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📊 Roadmap

We are building MamiHealth as a long-term platform that blends empathy + AI to help people eat better every day.

✅ In Progress

• Native iOS & Android app (built with React Native)
• Photo recognition + GPT-style food suggestion logic
• Behavior nudging logic tuning by user segment
• Personalized nutrition dashboard

🔜 Planned

• Health trend reports (weekly/monthly PDF exports)
• Food recommendation engine integration with e-commerce (e.g. recipe kits, grocery delivery)
• Rewards/loyalty system based on consistent usage
• Partnership API for health labs, gyms, HR systems
• Voice-based meal logging (for elderly users)

💭 Long-Term Vision

• Build a nutrition intelligence layer for Asia
• Turn MamiHealth into a “pre-meal Siri”, deeply integrated into smartwatches, fridges, or ordering platforms
• Offer emotion-aware dietary guidance through voice tone & context

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📄 License

This project is licensed under the MIT License.
See LICENSE for details.