- π Overview
- π¦ Features
- π Structure
- π» Installation
- ποΈ Usage
- π Hosting
- π License
- π Authors
This repository houses a Fitness Tracker MVP, built to help users achieve their fitness goals by offering a platform to set, track, and share their progress. The project leverages a modern tech stack, including Next.js, TypeScript, React, Supabase, and various LLM tools like Gemini and OpenAI.
Feature | Description | |
---|---|---|
βοΈ | Architecture | The codebase is structured modularly, with separate directories for different functionalities, improving maintainability and scalability. |
π | Documentation | Comprehensive README file outlining the MVP's structure, dependencies, and usage instructions. |
π | Dependencies | The project utilizes various libraries and packages like React, Next.js, Zustand, Tailwind CSS, Supabase, and more, supporting its UI, functionality, and backend. |
𧩠| Modularity | The modular design promotes code reusability and easier maintenance with separate components and features. |
π§ͺ | Testing | Implement unit and integration tests to ensure the codebase is robust and reliable. |
β‘οΈ | Performance | Optimize the application for efficient performance by utilizing best practices, caching mechanisms, and data fetching optimization. |
π | Security | Prioritize security with robust measures like input validation, data sanitization, and secure communication protocols. |
π | Version Control | Employs Git for version control and GitHub Actions for automated build and release processes. |
π | Integrations | Includes integrations with fitness tracker APIs, potentially allowing users to import their activity data seamlessly. |
πΆ | Scalability | The architecture is designed to handle increased user load and data volume, utilizing caching, database optimization, and serverless solutions for scalable growth. |
fitness-goals-tracker-mvp/
βββ components
β βββ GoalCard.tsx
β βββ GoalForm.tsx
β βββ WorkoutForm.tsx
β βββ WorkoutCard.tsx
β βββ ProfileCard.tsx
β βββ ProgressChart.tsx
β βββ FeedItem.tsx
β βββ UserAvatar.tsx
β βββ Button.tsx
β βββ Input.tsx
β βββ Navigation.tsx
β βββ Header.tsx
β βββ Footer.tsx
β βββ LoadingSpinner.tsx
βββ pages
β βββ _app.tsx
β βββ api
β β βββ auth
β β β βββ [...nextauth].js
β β βββ goals
β β β βββ [id].js
β β βββ workouts
β β β βββ [id].js
β β βββ users
β β βββ [id].js
β βββ dashboard
β β βββ page.tsx
β βββ goals
β β βββ page.tsx
β βββ workouts
β β βββ page.tsx
β βββ profile
β β βββ page.tsx
β βββ login
β β βββ page.tsx
β βββ register
β βββ page.tsx
βββ styles
β βββ globals.css
βββ utils
β βββ api.js
β βββ helpers.js
β βββ constants.js
βββ prisma
β βββ schema.prisma
βββ next.config.js
- Node.js
- npm
- Docker
- Clone the repository:
git clone https://github.com/spectra-ai-codegen/fitness-goals-tracker-mvp.git
- Navigate to the project directory:
cd fitness-goals-tracker-mvp
- Install dependencies:
npm install
- Start the development server:
npm run dev
- Open your browser and navigate to http://localhost:3000.
Adjust configuration settings in next.config.js
or .env
.
- π Example 1: Create a new fitness goal, track its progress, and view visualized progress charts.
- π Example 2: Log your workouts, including type, duration, and intensity.
- π Example 3: Share your fitness achievements on the social feed and connect with other users.
This project can be deployed using various services like Vercel, Netlify, AWS, or Google Cloud. Choose the most appropriate platform based on your needs and preferences.
- Initialize the project:
vercel init
- Choose the Vercel provider:
vercel deploy
- Follow the Vercel instructions to complete the deployment.
- Create a new Netlify site:
netlify init
- Choose the Netlify provider:
netlify deploy
- Follow the Netlify instructions to complete the deployment.
- Set up an AWS account and create an S3 bucket for hosting static content.
- Configure AWS CloudFront to deliver the content.
- Implement an API gateway to manage API calls.
- Set up a serverless function for handling backend logic.
- Create a Google Cloud project and configure a Cloud Storage bucket for static content.
- Utilize Google Cloud Functions for serverless backend logic.
- Set up a Cloud Load Balancer to manage traffic distribution.
This project is licensed under the MIT License - see the LICENSE file for details.
- Author Name - Spectra.codes
- Creator Name - DRIX10
Why only generate Code? When you can generate the whole Repository!