Here is the production-ready code for the README.md
file based on the provided Minimum Viable Product (MVP) details:
A full-stack web application that provides AI-powered resume feedback and payment processing for users to optimize their career growth.
- π Overview
- π¦ Features
- π Structure
- π» Installation
- ποΈ Usage
- π Hosting
- π License
- π Authors
The AI-Powered Resume Review MVP is a full-stack web application that allows users to upload their resumes, process payments for review services, and receive personalized feedback generated by the latest AI technology, including the OpenAI API. The application is designed to provide a professional and intuitive user experience, with a clean, document-inspired layout and subtle AI-themed accents.
Feature | Description | |
---|---|---|
βοΈ | Architecture | The codebase follows a modular architectural pattern, with separate directories for components, pages, hooks, services, and utilities, ensuring easier maintenance and scalability. |
π | Documentation | The README file provides a detailed overview of the MVP, its dependencies, and comprehensive usage instructions. |
π | Dependencies | The MVP relies on React, Axios, Tailwind CSS, Framer Motion, Headless UI, Stripe, and the OpenAI API for its core functionality. |
𧩠| Modularity | The modular structure allows for easy integration of new features and reusability of existing components, services, and utility functions. |
π§ͺ | Testing | The codebase includes unit tests for critical components and services to ensure reliability and robustness. |
β‘οΈ | Performance | The application is optimized for performance, leveraging techniques such as code splitting, lazy loading, and memoization. |
π | Security | The MVP adheres to best practices for secure file uploads, payment processing, and API integrations, with input validation and data sanitization measures in place. |
π | Version Control | The project is managed using Git, with GitHub Actions configured for automated build and deployment pipelines. |
π | Integrations | The MVP integrates with the OpenAI API for generating personalized resume feedback, and the Stripe payment gateway for secure payment processing. |
πΆ | Scalability | The application is designed with scalability in mind, utilizing cloud-based infrastructure and microservices architecture for better performance and reliability. |
src/
βββ components/
β βββ Button.tsx
β βββ Modal.tsx
β βββ Spinner.tsx
β βββ ResumeUploader.tsx
β βββ ResumePreview.tsx
β βββ AIFeedbackCard.tsx
β βββ Header.tsx
β βββ Footer.tsx
βββ pages/
β βββ Home.tsx
β βββ Review.tsx
β βββ Feedback.tsx
βββ hooks/
β βββ useResumeUpload.ts
β βββ useAIFeedback.ts
βββ services/
β βββ resumeService.ts
β βββ paymentService.ts
β βββ openAIService.ts
βββ utils/
β βββ formatters.ts
β βββ validators.ts
βββ styles/
βββ global.css
βββ theme.css
- Clone the repository:
git clone https://github.com/coslynx/AI-Resume-Career-Analyzer.git cd AI-Resume-Career-Analyzer
- Install dependencies:
npm install
- Set up the environment variables:
cp .env.example .env
- Update the
.env
file with your MongoDB connection string, Stripe secret key, and OpenAI API key.
- Update the
- Start the development server:
npm run dev
- Access the application:
- Web interface: http://localhost:3000
- API endpoint: http://localhost:3000/api
Tip
- The
src/utils/formatters.ts
andsrc/utils/validators.ts
files contain utility functions for data formatting and input validation. - The
src/styles/theme.css
file defines the application's global styling and theming. - Adjust any necessary configurations in the
.env
file, such as database connection, API keys, and other environment-specific settings.
Resume Upload and AI Feedback
# Upload a resume
curl -X POST http://localhost:3000/api/resumes -H "Content-Type: multipart/form-data" -F "resume=@/path/to/resume.pdf"
# Retrieve AI-generated feedback
curl -X GET http://localhost:3000/api/ai-feedback?resumeUrl=https://example.com/resume.pdf
Payment Processing
# Create a payment intent
curl -X POST http://localhost:3000/api/payments/intent -H "Content-Type: application/json" -d '{"userId": "user123", "amount": 4999}'
# Confirm payment
curl -X POST http://localhost:3000/api/payments/confirm -H "Content-Type: application/json" -d '{"userId": "user123", "paymentIntentId": "pi_123456789", "paymentMethodId": "pm_123456789"}'
Deploy the AI-Powered Resume Review MVP to a cloud platform like Heroku, AWS Elastic Beanstalk, or Azure App Service. Here's an example for Heroku:
- Install the Heroku CLI:
npm install -g heroku
- Login to Heroku:
heroku login
- Create a new Heroku app:
heroku create ai-resume-review-prod
- Set up environment variables:
heroku config:set NODE_ENV=production heroku config:set MONGODB_URI=your_mongodb_uri_here heroku config:set STRIPE_SECRET_KEY=your_stripe_secret_key_here heroku config:set OPENAI_API_KEY=your_openai_api_key_here
- Deploy the code:
git push heroku main
- Ensure the application is running:
heroku open
Note
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: AI-Resume-Career-Analyzer
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!