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  example of chat

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  ai assistant

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  main screen

About Eatmo

Inspiration

For years, I struggled with weight loss, convinced that gym sessions alone would solve everything. Yet the scale never moved - because after every workout, I'd reward myself with fast food. When I finally understood nutrition was the key, I fell into another trap: so-called "healthy eating." I'd consume avocado toast with salmon, unaware this was nearly 1000 calories - quite the breakfast indeed.

My journey was paved with myths and misinformation. It took me years to grasp basic physiology and nutrition fundamentals. I created Eatmo to help others avoid these same pitfalls and shortcuts I took.

What It Does

Eatmo combines intuitive tracking with evidence-based guidance:

• Track food, supplements, and activities via text, photos, or barcode scans
• AI-powered supplement analysis with clinical research validation
• Personalized AI nutritionist that provides responses grounded in scientific literature and your personal health data

How I Built It

I developed Eatmo solo using React Native over 8 months while working full-time. The development rhythm was intense yet consistent - approximately 1 hour daily on weekdays and 2-3 hours on weekends. This disciplined approach allowed me to maintain momentum while balancing professional commitments.

Challenges

My commitment to privacy created significant technical hurdles. Since I don't store Apple Health metrics on external servers (all data remains locally on the user's device), I faced the challenge of creating an AI agent that could:

1. Intelligently determine which data to request
2. Accurately query this data without hallucinations

After extensive testing, only one LLM architecture successfully met these requirements while maintaining both accuracy and privacy standards.

Accomplishments

What I'm most proud of isn't a feature or technical achievement, but the persistence itself. Despite zero initial sales or user feedback, I maintained daily development discipline for eight consecutive months without a single day missed. This consistent effort through the "dark forest" of solo development became the project's foundation.

What I Learned

Beyond React Native development, I acquired diverse skills including:

• Basic marketing and user acquisition strategies
• UI/UX design principles for health applications
• Advanced animation implementation
• Clinical research validation methodologies
• Privacy-first architecture design

What's Next for Eatmo

1. Persona Mode: Transforming health tracking into an RPG-like experience where your Apple Health metrics become character attributes you level up through consistent healthy choices
2. Medical Document Analysis: Capability to upload and analyze lab results and medical documents through our AI system
3. Custom Context Builder: Users will be able to manually construct AI assistant context by attaching specific metrics, files, and health parameters relevant to their queries

The journey continues - one commit at a time.

Built With

• convex
• expo.io
• react-native