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OgagaOnuta

OgagaOnuta

personaltraining

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README.md

Personal Trainer Fitness Tracker

Overview

The Personal Trainer Fitness Tracker was created using Val Town's Townie AI to streamline personal trainer-client interactions and enhance fitness tracking. The Personal Trainer Fitness Tracker is a web and mobile app designed to help personal trainers manage client progress, create workout routines, and track fitness metrics efficiently. The app features a dark theme, professional fonts, and a sleek black dumbbell icon for branding.

Visit the live demo: Personal Trainer App

Features

  • Client Management: Add, edit, and track client profiles and fitness goals.
  • Progress Tracking: Visual dashboards with performance analytics and wearable fitness tracker integration.
  • Workout Program Designer: Customizable exercise routines with sets, reps, intensity, and scheduling.
  • Nutrition & Lifestyle Logging: Optional meal tracking, hydration, and recovery monitoring.
  • Communication & Engagement: In-app messaging, automated progress reminders, and motivational alerts.
  • Dark Theme & Branding: Modern dark theme UI with a black dumbbell icon and professional fonts for a polished experience.

Tech Stack

  • Frontend: React (for web), React Native (for mobile)
  • Backend: Node.js with Express.js
  • Database: MongoDB / PostgreSQL
  • Authentication: Firebase / JWT
  • Hosting: AWS / Vercel / Netlify

Installation

Prerequisites

  • Node.js installed
  • MongoDB or PostgreSQL database setup

Steps

  1. Clone the repository:
    git clone https://github.com/yourusername/personal-trainer-app.git
  2. Navigate into the project directory:
    cd personal-trainer-app
  3. Install dependencies:
    npm install
  4. Set up environment variables (create a .env file and add credentials for the database, authentication, etc.).
  5. Run the development server:
    npm run dev
  6. Open the app in your browser at http://localhost:3000.

Contributing

Contributions are welcome! Feel free to fork this repository and submit pull requests.

License

This project is licensed under the MIT License.

Contact

For questions or support, contact [ogagaonuta@gmail.com] or open an issue on GitHub.

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