A web application for setting fitness goals, tracking progress, and sharing achievements with friends.
- π Overview
- π¦ Features
- π Structure
- π» Installation
- ποΈ Usage
- π Hosting
- π License
- π Authors
This repository contains a Minimum Viable Product (MVP) for a Realtime Fitness Tracker. Built using Next.js, React, TypeScript, Node.js, and SQLite, this MVP allows users to set fitness goals, track their progress in real-time, and share achievements with friends. It addresses the need for a user-friendly and motivating platform for fitness enthusiasts.
Feature | Description | |
---|---|---|
βοΈ | Architecture | The codebase follows a modular architectural pattern with separate directories for different functionalities, ensuring easier maintenance and scalability. |
π | Documentation | The repository includes a README file that provides a detailed overview of the MVP, its dependencies, and usage instructions. |
π | Dependencies | The codebase relies on various external libraries and packages such as React, uuid, esbuild, and eslint, which are essential for building and styling the UI components, and handling external services. |
𧩠| Modularity | The modular structure allows for easier maintenance and reusability of the code, with separate directories and files for different functionalities such as background, components, and content. |
π§ͺ | Testing | Implement unit tests using frameworks like Jest or React Testing Library to ensure the reliability and robustness of the codebase. |
β‘οΈ | Performance | The performance of the system can be optimized based on factors such as the browser and hardware being used. Consider implementing performance optimizations for better efficiency. |
π | Security | Enhance security by implementing measures such as input validation, data encryption, and secure communication protocols. |
π | Version Control | Utilizes Git for version control with GitHub Actions workflow files for automated build and release processes. |
π | Integrations | Interacts with browser APIs, external services through HTTP requests, and includes integrations with speech recognition and synthesis APIs. |
πΆ | Scalability | Design the system to handle increased user load and data volume, utilizing caching strategies and cloud-based solutions for better scalability. |
βββ public
β βββ favicon.ico
βββ pages
β βββ _app.tsx
β βββ index.tsx
βββ components
β βββ Navbar.tsx
βββ styles
β βββ globals.css
βββ next.config.js
- Node.js v14+
- npm 6+
- Clone the repository:
git clone https://github.com/coslynx/Realtime-Fitness-Tracker-MVP.git cd Realtime-Fitness-Tracker-MVP
- Install dependencies:
npm install
- Configure environment variables:
cp .env.example .env [Instruct to fill in necessary environment variables]
- Start the development server:
npm run dev
- Access the application:
- Web interface: http://localhost:3000
- The
.env
file contains environment variables for database connection and other settings. - The
next.config.js
file provides configurations for Next.js, including routing and optimization settings.
- Set a Fitness Goal:
curl -X POST http://localhost:3000/api/goals \ -H "Content-Type: application/json" \ -H "Authorization: Bearer YOUR_JWT_TOKEN" \ -d '{"type": "weight_loss", "target": 10, "deadline": "2024-12-31"}'
- Sign up for a Vercel account: https://vercel.com/
- Install the Vercel CLI:
npm install -g vercel
- Login to Vercel:
vercel login
- Initialize Vercel:
vercel init
- Choose your project directory and deploy:
vercel
- Set up environment variables in Vercel's dashboard.
API_BASE_URL
: The base URL of your API (if you are using a separate API server).DB_PATH
: Path to your SQLite database file.
This Minimum Viable Product (MVP) is licensed under the GNU AGPLv3 license.
This MVP was entirely generated using artificial intelligence through CosLynx.com.
No human was directly involved in the coding process of the repository: Realtime-Fitness-Tracker-MVP
For any questions or concerns regarding this AI-generated MVP, please contact CosLynx at:
- Website: CosLynx.com
- Twitter: @CosLynxAI
Create Your Custom MVP in Minutes With CosLynxAI!