AI-Powered Plans
Personalized workout and nutrition planning shaped around goals, fitness level, and available equipment.
AI-assisted fitness planning
Transform your fitness journey with focused, personalized tools.
Do It Fit is a private testing project built to explore adaptive workouts, nutrition planning, progress tracking, and responsible AI support for everyday fitness routines.
Project overview
A practical fitness app built around consistency.
Do It Fit is designed as a structured personal fitness companion. The core app supports workout generation, body and goal tracking, nutrition planning, daily wellness routines, and streak-based motivation.
The backend is currently being restructured so the project can support a safer, lower-cost local AI workflow during development while preserving the option to use hosted providers in production.
Feature list
Everything needed to support repeatable progress.
Home or Gym Modes
Workout recommendations can adapt to bodyweight, home equipment, or full gym settings.
Goal Tracking
Progress views support workouts, measurements, completion history, and fitness goals.
Streaks and Wellness
Daily check-ins, wellness items, and streak tracking help make consistency visible.
Current status
Private/local testing
The app is currently in private/local testing while backend AI provider handling and database safety workflows are being restructured. Public sign-up and app access are intentionally unavailable at this time.
Privacy and security
Backend access is restricted.
The live app is not publicly accessible while the backend is being restructured. This page is informational only and contains no login, database connection, API key, sign-in flow, or application server logic.
Tech stack
Built as a modern full-stack fitness application.
React-based interface
TypeScript
Tailwind CSS
Responsive HTML and CSS
Private data model
Local testing workflow
AI provider abstraction
Screenshots and demo
Preview materials
These public-safe preview panels show the project direction without exposing private app data, accounts, or backend access.
Project preview
Brand and fitness concept artwork from the current landing experience.
Dashboard preview
Public-safe representation of progress, streak, and mode tracking without exposing private user data.
Workout flow preview
Static view of the workout planning flow, showing option selection and generated exercise structure.
Repository and review access
Private repository available upon request.
Review access can be coordinated for qualified reviewers, collaborators, or grant stakeholders while the application remains in private testing.