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All work / Fitness Web & Mobile App

PRODUCT STUDY / Fitness + AI

Fitness Web & Mobile App

Duolingo-inspired fitness platform with onboarding, personalized workouts, AI chat, nutrition tracking, XP, badges, rankings, subscriptions, and web/mobile parity.

PERSONAL PORTFOLIO STUDY
CONCEPT ARTWORK
Portfolio-provided concept presentation for Fitness Web & Mobile App - AI Fitness, Nutrition & Gamified Progress Platform

01 / THE OVERVIEW

Fitness Web & Mobile App - AI Fitness, Nutrition & Gamified Progress Platform

The product needed to feel motivational while coordinating AI assistance, workout generation, nutrition APIs, subscription plans, and progress loops without overwhelming users.

Documented contribution — Shahram Khan
Product planning and delivery coordination across mobile, responsive web, AI features, subscriptions, gamification, and admin operations.

Source: Personal portfolio .
Industry / category
Fitness / AI / Gamification / Web + Mobile
Product roles
Fitness user · Subscriber · Admin · Coach/content team
Documented technology / architecture
Flutter mobile · Responsive web app · Backend/auth/database · ChatGPT API · EDAMAM API · Admin panel · In-app purchases/web payments
Media classification
Source-provided concept artwork. No measured performance results or production demo are asserted.

02 / PRODUCT SCOPE

The experience,
piece by piece.

The published project record describes the following product features and delivery considerations. These preserve the documented scope of the study.

  • Onboarding questionnaire
  • Personalized workouts
  • Exercise categories
  • Animated exercise demos
  • Custom workout generator
  • AI chat
  • Nutrition tracking
  • Ranking/XP/badges
  • Leaderboard
  • Profile achievements
  • Subscription plans

03 / DELIVERY THINKING

Working through
the complexity.

Documented challenges: Balancing habit loops with clear UX; AI and nutrition API boundaries; Parity across web and mobile screens.

  • Mapped user roles and permission boundaries before sprint planning.
  • Converted discovery notes into scoped BRD/SRS/FRD documentation.
  • Coordinated design handoff, backend/API dependencies, QA checkpoints, and release readiness.
  • Tracked risks around scope, third-party integrations, privacy, and delivery sequencing.

Documented workflow: User completes onboarding questions and body data setup. → User follows personalized workout categories, animated exercise demos, and custom workout generation. → User tracks nutrition, asks AI chat, earns XP and badges, and checks ranking. → Admin monitors content, plans, and feature readiness..

THE NEXT CHAPTER STARTS HERE

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