A web application that empowers fitness enthusiasts to easily track their progress towards their goals and share achievements with friends.
- π Overview
- π¦ Features
- π Structure
- π» Installation
- ποΈ Usage
- π Hosting
- π License
- π Authors
The repository contains a Minimum Viable Product (MVP) called "fitness-tracker-mvp-social" that provides a comprehensive solution using the following tech stack: React, JavaScript, HTML, CSS, Node.js, and Custom LLMs including Gemini and OpenAI.
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 Minimum Viable Product (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. |
[object Object]
- Node.js
- npm
- Docker
- Clone the repository:
git clone https://github.com/spectra-ai-codegen/fitness-tracker-mvp-social.git
- Navigate to the MVP directory:
cd fitness-tracker-mvp-social
- Install dependencies:
npm install
- Start the development server:
npm start
- Open your browser and navigate to http://localhost:3000.
Adjust configuration settings in config.js
or .env
.
- π Example 1: How to use Goal Setting Feature
- π Example 2: How to use Progress Tracking Feature
- π Example 3: How to use Social Sharing Feature
If applicable, provide details on how to host the MVP using various services, such as:
Vercel Netlify GitHub Pages AWS Google Cloud
- Install the Heroku CLI:
npm install -g heroku
- Login to Heroku:
heroku login
- Create a new Heroku app:
heroku create
- Deploy the code:
git push heroku main
DB_HOST
: Database hostDB_USER
: Database userDB_PASS
: Database password
- GET /api/goals: Retrieves a list of goals.
- POST /api/goals: Creates a new goal.
- GET /api/activities: Retrieves a list of activities.
- POST /api/activities: Creates a new activity.
- GET /api/users: Retrieves a list of users.
- POST /api/users: Creates a new user.
Use JWT tokens for authentication.
curl -X GET http://localhost:3000/api/goals
This MVP is licensed under the GNU AGPLv3.
- Author Name - Spectra.codes
- Creator Name - DRIX10
Why only generate Code? When you can generate the whole Repository!