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Eleviy: AI fitness and nutrition product

Eleviy is a Svorus-owned AI fitness and nutrition product with a Flutter mobile app, FastAPI backend, multimodal meal analysis, personalized coaching, and workout generation.

Client label

Svorus-owned product

Eleviy: AI fitness and nutrition product

Challenge

A credible AI wellness product has to combine everyday mobile ergonomics with careful AI boundaries. Meal photos need safety checks and confirmation, coaching needs user context without leaking direct PII into model prompts, and progress tracking has to stay coherent across nutrition, workouts, subscriptions, notifications, and reports.

Approach

Svorus built Eleviy as a production-oriented product system: a Flutter app organized by feature modules, a FastAPI backend with PostgreSQL models and service boundaries, Redis and Celery for background work, Gemini-powered meal and coaching flows, and integrations for Firebase, S3, Stripe, RevenueCat, analytics, and monitoring.

Technical profile

Architecture, capabilities, and implementation surface

Platforms

  • Flutter mobile app
  • FastAPI backend
  • Admin dashboard
  • Marketing website

Technology

  • Flutter
  • Riverpod
  • GoRouter
  • Drift
  • FastAPI
  • PostgreSQL
  • Redis
  • Celery
  • Google Gemini
  • Firebase
  • S3
  • Stripe
  • RevenueCat
  • PostHog
  • Sentry

Key features

  • AI nutrition logging from meal photos
  • Aria AI coach with user-context-aware responses
  • Personalized workout plan generation
  • Macro, water, progress, readiness, and report tracking
  • Barcode, custom food, grocery, fridge, and menu workflows
  • Subscription, notifications, regional preferences, and privacy controls

AI capabilities

  • Gemini-powered multimodal meal photo analysis
  • Food image safety gate and confirmation workflow
  • AI coach grounded in nutrition, workout, profile, and body-trend context
  • LLM-generated workout plans enriched from an exercise database
  • Low-confidence correction and nutrition database matching

Architecture highlights

  • Flutter app uses feature modules, Riverpod state, and GoRouter auth and onboarding guards
  • FastAPI backend separates routers, schemas, services, models, and background tasks
  • PostgreSQL stores nutrition, workout, user, report, billing, and consent state
  • Redis, Celery, and scheduled jobs support background and recurring work
  • S3, Firebase, payment, analytics, and monitoring integrations are isolated behind service modules

Engineering challenges

  • Estimating meal portions from images without overclaiming precision
  • Keeping AI coaching personalized while excluding direct PII from model prompts
  • Coordinating offline mobile behavior with backend nutrition and workout state
  • Supporting subscriptions, notifications, regional settings, and privacy consent

Product screens

Product interface assets

Eleviy AI coach chat screen
Aria AI coach experience
Eleviy meal scan review screen
Meal photo analysis and confirmation
Eleviy nutrition macros and water tracking screen
Nutrition, macro, and hydration tracking
Eleviy progress dashboard screen
Progress dashboard
Eleviy readiness insights screen
Readiness and body insights

Results

What this entry is meant to prove

Svorus-owned

in-house AI fitness and nutrition product

Multimodal AI

meal photo analysis, coaching, and workout generation

Mobile-first

Flutter app backed by FastAPI, PostgreSQL, Redis, and cloud services

Services involved

Capabilities behind this work

Agentic AI and Applied AI EngineeringProduction AI agents that plan, use tools, and act with evaluation, logging, and human oversight.Selected capabilitiesAgent design and orchestrationRetrieval and knowledge systemsEvaluation and guardrailsExplore serviceProduct Engineering and Custom SoftwareWeb, mobile, and platform engineering from discovery through production with one accountable team.Selected capabilitiesProduct strategy and discoveryWeb application engineeringMobile engineeringExplore serviceCloud, DevOps and Platform EngineeringCloud migration, CI/CD, observability, reliability, and platform foundations built for on-call reality.Selected capabilitiesCloud migration and modernizationCI/CD and DevOps automationSite reliability engineering and observabilityExplore serviceData Engineering and AnalyticsTrusted pipelines, data platforms, BI, and MLOps foundations for products, dashboards, and AI agents.Selected capabilitiesData pipeline and integrationData platform modernizationAnalytics and BIExplore serviceManaged Services and SupportApplication, cloud, and AgentOps support from the team that understands what was built and why.Selected capabilitiesApplication managed servicesCloud infrastructure managementAgentOps monitoringExplore service

Industry context

Market connected to this work

Healthcare and Life SciencesWorkflow, data, and AI engineering for privacy-aware healthcare systems.

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