I designed and built an AI-assisted nutrition experience focused on reducing friction in calorie tracking and making healthy habits easier to maintain.

The product combines meal logging, recipe generation, adaptive goals, and personalized recommendations into a single experience instead of forcing users to switch between multiple tools.

Senior Product Designer / UX Engineer

I owned the end-to-end process:

• Product strategy • Flows • Information architecture • Interaction design • AI interaction patterns • System logic • UX writing • Prototyping and iteration • Testing

Traditional calorie tracking apps often create friction:

manual food search and repetitive inputs

fragmented experiences between logging and recommendations

difficult-to-understand progress data

generic goals that ignore user context

high effort required to maintain habits over time

The goal was to create a simpler and more adaptive experience powered by AI.

I designed an AI-driven nutrition system where users can:

• Log meals directly through chat • Generate recipes for one meal or a full day plan • Mix manual tracking with AI-generated suggestions • Automatically calculate calorie targets • Switch between weight loss, maintenance, and weight gain modes • Receive BMI-based recommendations • Track progress over time with adaptive calculations • Navigate and edit previous days and meal history

Chat-first interaction Reduced dependence on manual product search and created a more natural input flow.

Adaptive recommendation system Goals dynamically change depending on BMI, activity level, and selected objective.

Daily context memory The system keeps context during the day while creating a new history for each new day.

Progress simplification Complex metrics were reduced to understandable signals:

calorie deficit

average intake

estimated progress

projected timeline

• AI meal logging • Recipe generation and regeneration • Daily meal plans • Weight loss / maintenance / gain modes • BMI-based recommendations • Multi-language support (English / Russian) • Daily history and editing • Goal projections • Personalized calorie calculations • Google authentication • Mobile and web experience

The project explored how conversational AI can reduce repetitive actions and create a more adaptive nutrition experience.

Beyond designing interfaces, the focus was building system logic and decision frameworks that balance automation with user control.