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project-1723928946968-vp6s2g

Web application for fitness enthusiasts to set, track, and share their fitness goals.

Developed with the software and tools below.

Framework - Next.js Frontend - Javascript, Html, Css Backend - Supabase LLMs - Custom, Gemini, OpenAI

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📑 Table of Contents

  • 📍 Overview
  • 📦 Features
  • 📂 Structure
  • 💻 Installation
  • 🏗️ Usage
  • 🌐 Hosting
  • 📄 License
  • 👏 Authors

📍 Overview

The repository contains a Minimum Viable Product (MVP) called "Fitness Goal Tracker" that provides a comprehensive solution using the following tech stack: React, JavaScript, HTML, CSS, Supabase, and Custom LLMs including Gemini and OpenAI.

📦 Features

Feature Description
⚙️ Architecture The codebase follows a modular architectural pattern with separate directories for different functionalities, ensuring easier maintenance and scalability.
📄 Documentation The repository includes a README file that provides a detailed overview of the MVP, its dependencies, and usage instructions.
🔗 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.
🧩 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.
🧪 Testing Implement unit tests using frameworks like Jest or React Testing Library to ensure the reliability and robustness of the codebase.
⚡️ 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.
🔐 Security Enhance security by implementing measures such as input validation, data encryption, and secure communication protocols.
🔀 Version Control Utilizes Git for version control with GitHub Actions workflow files for automated build and release processes.
🔌 Integrations Interacts with browser APIs, external services through HTTP requests, and includes integrations with speech recognition and synthesis APIs.
📶 Scalability Design the system to handle increased user load and data volume, utilizing caching strategies and cloud-based solutions for better scalability.

📂 Structure

└── components
    └── GoalCard.jsx

💻 Installation

🔧 Prerequisites

  • Node.js
  • npm
  • Docker

🚀 Setup Instructions

  1. Clone the repository:
    • git clone https://github.com/spectra-ai-codegen/project-1723928946968-vp6s2g.git
  2. Navigate to the MVP directory:
    • cd project-1723928946968-vp6s2g
  3. Install dependencies:
    • npm install

🏗️ Usage

🏃‍♂️ Running the MVP

  1. Start the development server:
    • npm start
  2. Open your browser and navigate to http://localhost:3000.

⚙️ Configuration

Adjust configuration settings in config.js or .env.

📚 Examples

  • 📝 Example 1: How to set a fitness goal.
  • 📝 Example 2: How to track progress towards a goal.
  • 📝 Example 3: How to share your fitness achievements with friends.

🌐 Hosting

🚀 Deployment Instructions

  1. Install the Supabase CLI:
    • npm install -g @supabase/cli
  2. Log in to Supabase:
    • supabase login
  3. Create a new Supabase project:
    • supabase init
  4. Deploy the code:
    • supabase deploy

🔑 Environment Variables

  • SUPABASE_URL: Supabase URL
  • SUPABASE_KEY: Supabase API key

📜 API Documentation

🔍 Endpoints

  • GET /api/goals: Retrieves a list of goals.
  • POST /api/goals: Creates a new goal.
  • PUT /api/goals/:id: Updates an existing goal.
  • DELETE /api/goals/:id: Deletes a goal.

🔒 Authentication

Use JWT tokens for authentication.

📝 Examples

  • curl -X GET http://localhost:3000/api/goals

📜 License

This MVP is licensed under the GNU AGPLv3.

👥 Authors

🌐 Spectra.Codes

Why only generate Code? When you can generate the whole Repository!

Developer - Drix10 Website - Spectra.codes Backed_by - Google, Microsoft & Amazon for Startups Finalist - Backdrop Build v4