Mobile experience
Expo and React Native deliver the planning and tracking workflows.
- Daily agenda
- Plan editing
- Progress capture
Product 03 · Active build
Make the healthy choice easier to live.
An AI-powered fitness and nutrition system connecting meal planning, training, schedules, progress, groceries, and guidance.
Web / iOS / Android
The origin
Vervida began as an attempt to remove the repeated planning overhead between knowing what to do and fitting it into real life.
Principle“A sustainable health product should adapt to the person’s constraints and make consistency feel practical, not punish imperfect weeks.”
The response
Vervida combines training and nutrition planning with scheduling, progress context, grocery preparation, and AI guidance in one coordinated mobile experience.
Product shape
Connects meals, workouts, and calendar constraints inside a single weekly view.
Turns meal choices into an actionable grocery plan rather than an isolated menu.
Pairs tracked progress with the plan that produced it.
Uses AI to help revise a plan when time, preferences, or routines change.
Interactive product stage
Vervida is deployed and responsive. Its production security policy intentionally blocks third-party framing, so the portfolio provides a guided preview and a direct first-party launch.
Test and deployment evidence
Product-level release evidence is kept separate from the portfolio integration checks performed in this repository.
Engineering
Expo and React Native deliver the planning and tracking workflows.
Shared models coordinate training, nutrition, scheduling, and shopping.
Firebase services support synchronization and server-side processing.
Technical focus
Scheduling, nutrition, and training are modeled as related systems rather than separate features.
The experience is optimized for planning at home and checking actions while moving.
The application design accounts for interrupted sessions and changing real-world plans.
Evolution
Identified the manual work needed to coordinate training and nutrition.
Designed a weekly model tying schedules, food, and exercise together.
Explored assistance that adapts plans without replacing user agency.
Lessons learned
Next directions