Refactor project structure and documentation for CV Optimization Platform
- Updated .cursorrules with clearer project organization - Removed setup-project.sh script and consolidated project documentation - Simplified and restructured project rules, overview, and resources - Added comprehensive task list with detailed development roadmap - Cleaned up and standardized markdown files in .cursor/rules directory
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.cursor/rules/coding_conventions.md
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---
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description: Defines the coding conventions and style guidelines to be followed throughout the project.
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globs:
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---
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# Coding Conventions and Style Guide
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## General Principles
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- **Consistency:** Maintain a consistent coding style across the entire project.
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- **Readability:** Write code that is easy to understand and maintain by others (and your future self).
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- **Simplicity:** Keep code as simple as possible while achieving the desired functionality. Avoid unnecessary complexity.
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## Language Specific Conventions
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### JavaScript (React Frontend)
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- **Airbnb JavaScript Style Guide:** (Largely followed - [https://github.com/airbnb/javascript](https://github.com/airbnb/javascript))
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- **React Component Structure:** Functional components preferred. Use hooks for state and lifecycle management.
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- **Naming Conventions:** `camelCase` for variables and functions, `PascalCase` for React components.
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- **File Structure:** Organize components into logical directories based on features or UI sections.
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- **Comments:** Use comments to explain complex logic or non-obvious code sections.
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### Python/Node.js (Backend - Adjust based on your choice)
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- **Node.js Standard Style:** (If using Node.js backend - [https://standardjs.com/](https://standardjs.com/))
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- **Error Handling:** Use try-catch blocks (JavaScript) for robust error handling.
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- **Logging:** Use a logging library (e.g., `winston` or `pino` in Node.js) for structured logging.
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- **API Endpoint Design:** RESTful API principles. Clear and consistent endpoint naming.
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## Tailwind CSS Styling
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- **Utility-First Approach:** Primarily use Tailwind utility classes for styling.
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- **Component-Specific Styles (when needed):** Create custom CSS classes or components for reusable styles beyond utility classes.
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- **Responsiveness:** Utilize Tailwind's responsive modifiers (`sm:`, `md:`, `lg:`, etc.) for responsive design.
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## Git Conventions
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- **Branching Strategy:** Feature branches for new features, `main` branch for stable releases.
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- **Commit Messages:** Use clear and concise commit messages following conventional commits format (e.g., `feat: Add user authentication`, `fix: Resolve file upload bug`).
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- **Pull Requests:** Use pull requests for code reviews and merging changes into `main`.
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**CV Platform Development Protocol**
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1. Security First:
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- Always sanitize user input using DOMPurify
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- Encrypt resume files with AES-256-GSM during storage
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2. LLM Implementation Rules:
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- Use OpenAI text-embedding-3-small for semantic analysis
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- Maintain 0.7 temperature for balance between creativity/accuracy
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- Verify ATS keyword suggestions against JobCopilot's latest data
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3. Task Management:
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- Reference .notes/task_list.md before making changes
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- Create atomic Git commits per feature using Conventional Commits
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.cursor/rules/deployment_plan.md
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.cursor/rules/deployment_plan.md
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---
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description: Outlines the deployment plan for the CV Optimization Platform, including environments and steps.
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globs:
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---
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# Deployment Plan
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## Environments
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- **Development Environment:** Local development environment on your machine.
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- **Staging Environment:** (Optional but recommended for more complex projects) A staging environment that mirrors production for testing before live deployment. Could be a separate branch or deployment on Vercel/Render.
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- **Production Environment:** Live website accessible to users.
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## Deployment Steps (MVP Launch)
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### Frontend (Vercel)
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1. **Connect GitHub Repository to Vercel:** In Vercel, create a new project and connect it to your GitHub repository.
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2. **Configure Build Settings:** Vercel will usually auto-detect Next.js settings. Verify build command and output directory are correct.
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3. **Set Environment Variables:** Add any necessary environment variables (e.g., API endpoint URLs, API keys - *be careful not to expose secrets in frontend code directly, ideally pass through backend or use secure environment variable management*).
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4. **Deploy:** Trigger deployment from Vercel dashboard or by pushing to your `main` branch (if configured for automatic deployments).
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5. **Domain Setup (Optional):** Configure a custom domain name if desired.
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### Backend (Render/Heroku)
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1. **Create Render/Heroku Account and Project:** Create an account and a new project for your backend application on Render or Heroku.
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2. **Connect GitHub Repository:** Connect your backend GitHub repository to the Render/Heroku project.
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3. **Configure Deployment Settings:**
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- **Build Command:** (e.g., `pip install -r requirements.txt` for Python, `npm install` for Node.js).
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- **Start Command:** (e.g., `gunicorn app:app` for Flask, `uvicorn app:app --reload` for FastAPI during development, `node server.js` for Node.js).
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- **Environment Variables:** Set necessary environment variables, especially API keys, database connection strings (if applicable). Use secure environment variable management provided by Render/Heroku.
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4. **Database Setup (if using external DB):** Set up a database service (e.g., Render PostgreSQL, Heroku Postgres, MongoDB Atlas) and configure connection details.
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5. **Deploy:** Trigger deployment from Render/Heroku dashboard or by pushing to your `main` branch.
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6. **Health Checks:** Configure health check endpoints for monitoring application status.
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## Post-Deployment
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- **Monitoring:** Set up monitoring tools (e.g., Vercel Analytics, Render/Heroku logs, dedicated monitoring services) to track application performance and errors.
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- **Logging:** Review logs regularly to identify and address issues.
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- **Scaling (Future):** Plan for scaling backend resources as user load increases.
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**Note:** This is a basic deployment plan for MVP. It will need to be refined as the project evolves and more complex features are added. Consider CI/CD pipelines for automated deployments in the future.
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.cursor/rules/features.md
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---
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description: Lists the features and functionalities of the CV Optimization Platform, categorized by priority.
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globs:
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---
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# Features and Functionalities
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## Core Features (MVP)
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- **CV Upload:**
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- Support for .pdf, .doc, .docx, and .txt file formats.
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- Drag-and-drop and file selection upload methods.
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- File size limits and type validation.
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- **AI-Powered CV Analysis:**
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- Integration with OpenAI API (or chosen LLM).
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- Analysis of CV content for:
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- Grammar and spelling errors.
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- Clarity and conciseness.
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- Impact and effectiveness of language.
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- Keyword optimization for ATS.
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- **Suggestion Display:**
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- Side-by-side comparison of original and improved CV sections.
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- Clear and actionable suggestions for improvement.
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- Ability for users to accept, reject, or modify suggestions.
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- **Basic User Interface:**
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- Simple and intuitive design for ease of use.
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- Responsive design for different screen sizes.
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## Future Features (Post-MVP)
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- **User Accounts:**
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- Registration and login functionality.
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- Secure storage of user CVs.
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- User profiles to manage CVs.
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- **ATS Compliance Checking (Advanced):**
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- Simulate ATS parsing and scoring.
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- Provide specific feedback on ATS compatibility.
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- **Job Description Tailoring:**
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- Option to upload a job description.
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- AI analysis to tailor the CV to the specific job description.
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- **Cover Letter Generation:**
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- AI-powered cover letter generation based on CV and job description.
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- **Multiple CV Versions:**
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- Allow users to create and manage multiple versions of their CV.
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- **Integration with Job Boards:**
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- (Future consideration) Integration with job boards for direct application.
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- **Premium Features (Monetization):**
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- Advanced ATS checking.
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- Job description tailoring.
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- Priority support.
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---
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---
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description:
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description: Provides a high-level overview of the CV Optimization Platform project, its goals, and target users.
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globs:
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globs:
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---
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---
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# CV Optimization Platform
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# CV Optimization Platform Project Overview
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## Table of Contents
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## Project Goal
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1. [Key Features](#key-features)
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To develop a web platform that helps users improve their CVs using AI-powered analysis, increasing their chances of landing better jobs by optimizing for both human reviewers and automated Applicant Tracking Systems (ATS).
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2. [Tech Stack](#tech-stack)
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3. [Core Functionalities](#core-functionalities)
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4. [Documentation](#documentation)
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5. [Additional Requirements](#additional-requirements)
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6. [Current File Structure](#current-file-structure)
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## Key Features
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## Target Audience
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- AI-powered resume analysis
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Job seekers who want to:
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- ATS compliance checking
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- Improve the quality and effectiveness of their CVs.
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- Real-time editing suggestions
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- Optimize their CVs for Applicant Tracking Systems (ATS).
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- GDPR-compliant storage
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- Increase their chances of getting noticed by recruiters and hiring managers.
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- Save time and effort in CV writing.
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## Tech Stack
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## Key Success Metrics
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- React.js frontend
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- User satisfaction (measured through feedback and surveys).
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- Node.js/Express.js backend
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- Number of CVs analyzed and improved.
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- MongoDB database (initially using simple file storage)
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- User engagement (frequency of use, feature adoption).
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- OpenAI/Claude LLM integration
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- Positive impact on users' job search outcomes (ideally tracked through user testimonials or optional success stories).
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## Core Functionalities
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## Project Status
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- User authentication
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Currently in the initial development phase, focusing on core functionalities (CV upload, AI analysis, suggestion display).
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- File upload and storage
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- AI analysis and suggestions
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- ATS compliance checking
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- Real-time editing suggestions
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## Documentation
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- OpenAI API documentation
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- Claude API documentation
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- MongoDB documentation
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- React.js documentation
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## Additional Requirements
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- Use Tailwind CSS for styling
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- Implement responsive design
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- Ensure high performance and scalability
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- Follow best practices for security and error handling
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- Use Next.js for server-side rendering and routing
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- Implement proper error handling and user feedback
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- Ensure cross-browser compatibility
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- Optimize performance with code splitting and lazy loading
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- Implement caching where appropriate
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## Current File Structure
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my-app/
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├── app/
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├── components/
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├── public/
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├── styles/
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├── .env
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├── .gitignore
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├── package.json
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├── tailwind.config.ts
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├── tsconfig.json
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├── README.md
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./notes/
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├── resume_resources.md
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├── project_overview.md
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├── development_tasks.md
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.cursor/rules/requirements.md
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---
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description: Outlines the development requirements, including non-functional requirements, best practices, and coding guidelines.
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globs:
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---
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# Development Requirements and Best Practices
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## Non-Functional Requirements
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- **Performance:** Ensure fast loading times and responsive UI. Optimize backend for efficient processing.
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- **Scalability:** Design the system to handle increasing user load and data volume.
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- **Security:** Implement robust security measures to protect user data and prevent vulnerabilities. GDPR compliance for user data handling.
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- **Reliability:** Ensure the application is stable and handles errors gracefully.
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- **Accessibility:** Design with accessibility in mind (WCAG guidelines).
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- **Cross-Browser Compatibility:** Test and ensure compatibility across major browsers (Chrome, Firefox, Safari, Edge).
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- **Responsiveness:** Application should be fully responsive and work well on different devices (desktops, tablets, mobile).
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## Development Best Practices
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- **Clean Code:** Write readable, maintainable, and well-documented code.
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- **Version Control:** Use Git for version control and collaborate effectively. Follow Git best practices (branching, pull requests).
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- **Testing:** Implement unit tests, integration tests, and end-to-end tests to ensure code quality and prevent regressions.
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- **Error Handling:** Implement comprehensive error handling throughout the application. Provide informative error messages to users.
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- **Logging:** Implement logging for debugging and monitoring purposes.
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- **Code Reviews:** Conduct code reviews to ensure code quality and knowledge sharing.
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- **Performance Optimization:** Implement code splitting, lazy loading, and caching where appropriate to optimize performance.
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- **Security Best Practices:** Follow security best practices for web development, including input validation, output encoding, and protection against common vulnerabilities (OWASP guidelines).
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- **Tailwind CSS Conventions:** Follow Tailwind CSS best practices for styling and maintainability.
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- **React Best Practices:** Adhere to React best practices for component design, state management, and performance.
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# Resume Resources
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---
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description: A collection of external resources for resume building, including templates, writing tools, and job websites.
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globs:
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---
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# Resume Building Resources
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## CV Templates
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## Resume Templates
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- [React Resume Template](https://github.com/tbakerx/react-resume-template?tab=readme-ov-file)
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- [Resume.com Templates](https://www.resume.com/templates/)
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- [React Resume](https://reactresume.com/)
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- [Canva Resume Templates](https://www.canva.com/resumes/templates/)
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- [Google Docs Resume Templates](https://www.google.com/docs/about/) (Search for "resume" in template gallery)
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## LinkedIn Resume Builder
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## Resume Writing Tools & Guides
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- [Professional Resume Builder](https://lnkd.in/gPbPiF3Y)
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- [Grammarly](https://www.grammarly.com/) (Grammar and spell checker)
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- [Jobscan](https://www.jobscan.co/) (ATS optimization tool - *Consider as competitor research*)
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- [Resume Worded](https://resumeworded.com/) (Resume feedback and improvement tools - *Consider as competitor research*)
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- [Indeed Career Guide - Resume Writing](https://www.indeed.com/career-advice/resumes-cover-letters)
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## Resume Writing Tools
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## Job Search Websites (for inspiration and job description examples)
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1. **Looking for Resume**: Build resumes easily with professional templates.
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- [Indeed](https://www.indeed.com/)
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2. **ResumeWorded**: Instantly score and improve resumes and LinkedIn profiles.
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- [LinkedIn Jobs](https://www.linkedin.com/jobs/)
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3. **ResumeGenius**: Resources from application to job offer.
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- [Glassdoor](https://www.glassdoor.com/Job/jobs.htm)
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4. **Resume.io**: AI-powered resume analysis and improvement suggestions.
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- [Monster](https://www.monster.com/)
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5. **Enhancv**: Professional templates approved by recruiters in minutes.
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6. **Rezi**: AI-based CV builder with ATS optimization and keyword scanner.
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7. **Zety**: Create polished CVs in minutes with AI-powered tools.
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8. **CV Compiler**: Compare your CV with job descriptions for personalized feedback.
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9. **Visual CV**: Create professional CVs with AI-powered tools and templates.
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10. **Jobscan**: Optimize resumes for applicant tracking systems (ATS).
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11. **Novoresume**: Easy-to-use resume builder with modern templates.
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12. **Hiration**: Get tailored resume templates and career advice.
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13. **Kickresume**: Create resumes, cover letters, and websites effortlessly.
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14. **FlowCV**: Free tool to build visually appealing and structured resumes.
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## Remote Job Websites
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1. **We Work Remotely**: The largest remote community with 4.5M visitors.
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2. **Remote.co**: Offers remote roles in various fields.
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3. **FlexJobs**: Curates high-quality, vetted remote job opportunities.
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4. **Remotive**: Features remote jobs in various sectors.
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5. **Jobspresso**: Curated remote jobs in tech, marketing, design, and writing.
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## Networking
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- Join me on Telegram: [Unlock Career Secrets](https://t.me/hrswatisharma)
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- Follow HR Swati Sharma for more valuable content.
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---
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description: Decomposed task list for the CV Optimization Platform, organized by component and functionality. Follow this plan from top to bottom.
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globs:
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---
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# Decomposed Development Task List
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**Project Goal:** Develop a CV Optimization Platform MVP with core features: CV upload, AI-powered analysis, and basic suggestion display.
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**Development Flow:** Follow the components and tasks in the order listed below for a logical development progression.
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---
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## 1. Frontend Development (React.js with Next.js)
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**Functionality:** User Interface and User Interaction
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### 1.1. UI Structure and Basic Layout
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- **Tasks:**
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- [ ] 1.1.1. Set up basic Next.js project structure (if not already done).
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- [ ] 1.1.2. Create homepage (`pages/index.js`) with a clear heading and project description.
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- [ ] 1.1.3. Design basic layout using Tailwind CSS for overall page structure (header, main content area).
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- [ ] 1.1.4. Create a placeholder area for CV upload section.
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- [ ] 1.1.5. Create a placeholder area for displaying original CV text.
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- [ ] 1.1.6. Create a placeholder area for displaying improved CV text/suggestions.
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### 1.2. File Upload Functionality
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- **Tasks:**
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- [ ] 1.2.1. Install `react-dropzone` library.
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- [ ] 1.2.2. Create a File Upload Component (`components/FileUpload.js`).
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- [ ] 1.2.3. Implement drag-and-drop functionality using `react-dropzone`.
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- [ ] 1.2.4. Implement file selection button.
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- [ ] 1.2.5. Display selected file name to the user.
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- [ ] 1.2.6. Implement basic client-side file type validation (.pdf, .doc, .docx, .txt).
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||||||
|
- [ ] 1.2.7. Implement basic client-side file size validation.
|
||||||
|
- [ ] 1.2.8. Display user-friendly error messages for file validation failures.
|
||||||
|
|
||||||
|
### 1.3. Displaying Original CV Text
|
||||||
|
- **Tasks:**
|
||||||
|
- [ ] 1.3.1. Create a component to display CV text (`components/CVDisplay.js`).
|
||||||
|
- [ ] 1.3.2. Fetch uploaded file content from backend API (after backend `/upload` endpoint is ready - *note dependency*).
|
||||||
|
- [ ] 1.3.3. Display the raw text content of the uploaded CV in the `CVDisplay` component.
|
||||||
|
- [ ] 1.3.4. Implement basic formatting for text display (preserve line breaks, basic text styling).
|
||||||
|
|
||||||
|
### 1.4. Displaying Improved CV Text/Suggestions (Placeholder for now)
|
||||||
|
- **Tasks:**
|
||||||
|
- [ ] 1.4.1. Create a placeholder component for improved CV display (`components/ImprovedCVDisplay.js`).
|
||||||
|
- [ ] 1.4.2. For now, display static placeholder text in `ImprovedCVDisplay` (e.g., "Improved CV Suggestions will appear here").
|
||||||
|
- [ ] 1.4.3. Plan layout for side-by-side comparison or tabbed view for original vs. improved CV (implementation later).
|
||||||
|
|
||||||
|
### 1.5. Basic Frontend Styling and Responsiveness
|
||||||
|
- **Tasks:**
|
||||||
|
- [ ] 1.5.1. Apply Tailwind CSS styling to all frontend components for a consistent look and feel.
|
||||||
|
- [ ] 1.5.2. Ensure basic responsiveness for different screen sizes (desktop, mobile).
|
||||||
|
- [ ] 1.5.3. Refine UI elements for better user experience (padding, margins, font sizes, colors).
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## 2. Backend Development (Node.js/Express.js OR Python/Flask/FastAPI - *Choose one and proceed*)
|
||||||
|
|
||||||
|
**Functionality:** API Endpoints, Logic, LLM Integration, Document Processing
|
||||||
|
|
||||||
|
### 2.1. Backend Project Setup and API Framework
|
||||||
|
- **Tasks (Choose Node.js OR Python path):**
|
||||||
|
|
||||||
|
**Node.js/Express.js Path:**
|
||||||
|
- [ ] 2.1.1. Set up Node.js backend project (using `npm init`).
|
||||||
|
- [ ] 2.1.2. Install Express.js and required packages (`express`, `dotenv`, etc.).
|
||||||
|
- [ ] 2.1.3. Create a basic Express.js server (`server.js`) with a "Hello World" endpoint to test.
|
||||||
|
- [ ] 2.1.4. Configure `.env` file for environment variables.
|
||||||
|
|
||||||
|
**Python/Flask/FastAPI Path:**
|
||||||
|
- [ ] 2.1.1. Set up Python backend project and virtual environment.
|
||||||
|
- [ ] 2.1.2. Install Flask/FastAPI and required packages (`flask` or `fastapi`, `uvicorn`, `python-dotenv`, etc.).
|
||||||
|
- [ ] 2.1.3. Create a basic Flask/FastAPI app (`app.py`) with a "Hello World" endpoint to test.
|
||||||
|
- [ ] 2.1.4. Configure `.env` file for environment variables.
|
||||||
|
|
||||||
|
### 2.2. `/upload` API Endpoint - File Handling
|
||||||
|
- **Tasks (Adjust based on Node.js or Python):**
|
||||||
|
- [ ] 2.2.1. Create `/upload` API endpoint in backend.
|
||||||
|
- [ ] 2.2.2. Implement file upload handling using appropriate middleware/libraries (e.g., `multer` in Node.js, Flask/FastAPI file handling).
|
||||||
|
- [ ] 2.2.3. Implement server-side file type validation (double-check file types).
|
||||||
|
- [ ] 2.2.4. Implement server-side file size limits.
|
||||||
|
- [ ] 2.2.5. Save uploaded files temporarily to a server directory (for processing).
|
||||||
|
- [ ] 2.2.6. Return success response to frontend with temporary file path or identifier.
|
||||||
|
- [ ] 2.2.7. Implement error handling for file upload failures and return appropriate error responses.
|
||||||
|
|
||||||
|
### 2.3. Document Text Extraction Functionality
|
||||||
|
- **Tasks (Adjust based on Node.js or Python and chosen libraries):**
|
||||||
|
- [ ] 2.3.1. Install document processing libraries (e.g., `pdf-parse`, `docx-parser` for Node.js OR `PyPDF2`, `python-docx` for Python).
|
||||||
|
- [ ] 2.3.2. Create functions to extract text from:
|
||||||
|
- [ ] 2.3.2.a. PDF files
|
||||||
|
- [ ] 2.3.2.b. DOCX files
|
||||||
|
- [ ] 2.3.2.c. DOC files (if supporting)
|
||||||
|
- [ ] 2.3.2.d. TXT files
|
||||||
|
- [ ] 2.3.3. Integrate text extraction functions into `/upload` endpoint after file saving.
|
||||||
|
- [ ] 2.3.4. After successful text extraction, return the extracted text in the API response to the frontend (instead of just file path).
|
||||||
|
- [ ] 2.3.5. Implement error handling for text extraction failures.
|
||||||
|
|
||||||
|
### 2.4. `/analyze` API Endpoint - LLM Integration (Initial Setup)
|
||||||
|
- **Tasks (Adjust based on Node.js or Python and OpenAI API):**
|
||||||
|
- [ ] 2.4.1. Create `/analyze` API endpoint in backend.
|
||||||
|
- [ ] 2.4.2. Install OpenAI API library (or chosen LLM library).
|
||||||
|
- [ ] 2.4.3. Configure OpenAI API key in `.env` file and load it securely.
|
||||||
|
- [ ] 2.4.4. In `/analyze` endpoint, receive CV text from frontend request.
|
||||||
|
- [ ] 2.4.5. Construct a basic prompt for the LLM for general CV improvement (use prompt examples from previous discussions).
|
||||||
|
- [ ] 2.4.6. Send the CV text and prompt to the OpenAI API.
|
||||||
|
- [ ] 2.4.7. Receive the LLM response.
|
||||||
|
- [ ] 2.4.8. For now, simply return the raw LLM response text to the frontend in the API response.
|
||||||
|
- [ ] 2.4.9. Implement basic error handling for OpenAI API calls (API connection errors, rate limits, etc.).
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## 3. Integration and Testing
|
||||||
|
|
||||||
|
**Functionality:** Connecting Frontend and Backend, End-to-End Testing
|
||||||
|
|
||||||
|
### 3.1. Connect Frontend File Upload to Backend `/upload` Endpoint
|
||||||
|
- **Tasks:**
|
||||||
|
- [ ] 3.1.1. In Frontend `FileUpload` component, modify file upload logic to send files to the backend `/upload` endpoint using `fetch` or `axios`.
|
||||||
|
- [ ] 3.1.2. Handle successful `/upload` response and store the returned CV text (or file identifier if needed) in frontend state.
|
||||||
|
- [ ] 3.1.3. Display the received CV text in the `CVDisplay` component.
|
||||||
|
- [ ] 3.1.4. Handle error responses from `/upload` endpoint and display user-friendly error messages.
|
||||||
|
|
||||||
|
### 3.2. Connect Frontend "Process CV" Button to Backend `/analyze` Endpoint
|
||||||
|
- **Tasks:**
|
||||||
|
- [ ] 3.2.1. Add a "Process CV" button to the frontend UI (below the uploaded CV display area).
|
||||||
|
- [ ] 3.2.2. When "Process CV" button is clicked, trigger an API call from frontend to backend `/analyze` endpoint.
|
||||||
|
- [ ] 3.2.3. Send the CV text (currently displayed in `CVDisplay`) to the `/analyze` endpoint in the request body.
|
||||||
|
- [ ] 3.2.4. Handle successful `/analyze` response and store the returned improved CV text (LLM response) in frontend state.
|
||||||
|
- [ ] 3.2.5. Display the received improved CV text in the `ImprovedCVDisplay` component (replace placeholder text).
|
||||||
|
- [ ] 3.2.6. Handle error responses from `/analyze` endpoint and display user-friendly error messages.
|
||||||
|
- [ ] 3.2.7. Implement loading state/spinner to indicate processing while waiting for API responses.
|
||||||
|
|
||||||
|
### 3.3. End-to-End Testing and Refinement
|
||||||
|
- **Tasks:**
|
||||||
|
- [ ] 3.3.1. Test the entire flow: Upload CV -> Display Original -> Click "Process CV" -> Display Improved CV.
|
||||||
|
- [ ] 3.3.2. Test with different file types (.pdf, .docx, .txt).
|
||||||
|
- [ ] 3.3.3. Test with various CV content examples.
|
||||||
|
- [ ] 3.3.4. Test error handling scenarios (invalid file types, large files, API errors, etc.).
|
||||||
|
- [ ] 3.3.5. Refine UI and user flow based on testing.
|
||||||
|
- [ ] 3.3.6. Basic code cleanup and commenting.
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## 4. Deployment (Initial MVP Deployment)
|
||||||
|
|
||||||
|
**Functionality:** Deploying Frontend and Backend to hosting platforms.
|
||||||
|
|
||||||
|
### 4.1. Frontend Deployment to Vercel
|
||||||
|
- **Tasks:**
|
||||||
|
- [ ] 4.1.1. Create a Vercel account (if not already done).
|
||||||
|
- [ ] 4.1.2. Connect your frontend GitHub repository to Vercel.
|
||||||
|
- [ ] 4.1.3. Configure Vercel deployment settings (if needed, usually auto-detects Next.js).
|
||||||
|
- [ ] 4.1.4. Deploy frontend to Vercel.
|
||||||
|
- [ ] 4.1.5. Verify frontend is accessible on Vercel URL.
|
||||||
|
|
||||||
|
### 4.2. Backend Deployment to Render/Heroku (Choose one)
|
||||||
|
- **Tasks (Choose Render or Heroku):**
|
||||||
|
|
||||||
|
**Render Deployment:**
|
||||||
|
- [ ] 4.2.1. Create a Render account (if not already done).
|
||||||
|
- [ ] 4.2.2. Create a new Web Service on Render.
|
||||||
|
- [ ] 4.2.3. Connect your backend GitHub repository to Render.
|
||||||
|
- [ ] 4.2.4. Configure Render deployment settings (build command, start command, environment variables - especially OpenAI API key).
|
||||||
|
- [ ] 4.2.5. Deploy backend to Render.
|
||||||
|
- [ ] 4.2.6. Verify backend API is accessible on Render URL (e.g., test "Hello World" endpoint).
|
||||||
|
|
||||||
|
**Heroku Deployment:**
|
||||||
|
- [ ] 4.2.1. Create a Heroku account (if not already done).
|
||||||
|
- [ ] 4.2.2. Create a new Heroku app.
|
||||||
|
- [ ] 4.2.3. Connect your backend GitHub repository to Heroku.
|
||||||
|
- [ ] 4.2.4. Configure Heroku deployment settings (buildpacks, environment variables - especially OpenAI API key).
|
||||||
|
- [ ] 4.2.5. Deploy backend to Heroku.
|
||||||
|
- [ ] 4.2.6. Verify backend API is accessible on Heroku URL (e.g., test "Hello World" endpoint).
|
||||||
|
|
||||||
|
### 4.3. Configure Frontend to Connect to Deployed Backend
|
||||||
|
- **Tasks:**
|
||||||
|
- [ ] 4.3.1. In Frontend code, update API endpoint URLs to point to your deployed backend URL (on Render/Heroku).
|
||||||
|
- [ ] 4.3.2. Re-deploy frontend to Vercel with updated backend URL.
|
||||||
|
- [ ] 4.3.3. Test the entire application flow on the deployed environment (Vercel frontend connected to Render/Heroku backend).
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
**Next Steps (Post MVP - Not part of this decomposed list yet, for future planning):**
|
||||||
|
|
||||||
|
- Implement User Accounts
|
||||||
|
- Enhance LLM Prompting and Analysis (ATS Optimization, Job Description Tailoring)
|
||||||
|
- Implement Suggestion Editing and User Feedback
|
||||||
|
- Advanced UI/UX improvements
|
||||||
|
- Monetization Strategy Implementation
|
||||||
|
- ... and so on
|
||||||
|
|
||||||
|
**Follow this decomposed task list sequentially. Start with "1. Frontend Development - 1.1. UI Structure and Basic Layout" and work your way down. This provides a clear path to build your MVP.**
|
||||||
30
.cursor/rules/tech_stack.md
Normal file
30
.cursor/rules/tech_stack.md
Normal file
@ -0,0 +1,30 @@
|
|||||||
|
---
|
||||||
|
description: Details the technology stack chosen for the CV Optimization Platform.
|
||||||
|
globs:
|
||||||
|
---
|
||||||
|
# Technology Stack
|
||||||
|
|
||||||
|
## Frontend
|
||||||
|
- **Framework:** React.js (using Next.js for server-side rendering and routing)
|
||||||
|
- **Styling:** Tailwind CSS
|
||||||
|
- **State Management:** (Initially simple React state, consider Context API or Zustand if complexity grows)
|
||||||
|
- **UI Library:** (Consider a component library like Material UI or Ant Design if needed for more complex UI elements later)
|
||||||
|
|
||||||
|
## Backend
|
||||||
|
- **Language:** Node.js (with Express.js framework) or Python (with Flask/FastAPI - *Decision needed based on your preference and libraries for LLM interaction*)
|
||||||
|
- **API Framework:** Express.js (Node.js) or Flask/FastAPI (Python)
|
||||||
|
- **Document Processing Libraries:**
|
||||||
|
- Python: `PyPDF2`, `python-docx` (if using Python backend)
|
||||||
|
- Node.js: `pdf-parse`, `docx-parser` (if using Node.js backend)
|
||||||
|
|
||||||
|
## Database
|
||||||
|
- **Initial Stage:** File-based storage (for simplicity in MVP) - *Consider moving to MongoDB or PostgreSQL for user accounts and scalable data storage later.*
|
||||||
|
- **Future Scalable Database:** MongoDB (NoSQL) or PostgreSQL (Relational) - *To be decided based on data structure and scalability needs.*
|
||||||
|
|
||||||
|
## LLM Integration
|
||||||
|
- **Primary LLM Provider:** OpenAI API (GPT models) - for initial development and ease of use.
|
||||||
|
- **Potential Alternative:** Hugging Face Transformers - for exploring open-source models and potential cost optimization in the future.
|
||||||
|
|
||||||
|
## Deployment
|
||||||
|
- **Frontend Hosting:** Vercel (for Next.js applications)
|
||||||
|
- **Backend Hosting:** Render or Heroku (or AWS/Google Cloud/Azure for more control and scalability)
|
||||||
31
.cursorrules
31
.cursorrules
@ -1,22 +1,13 @@
|
|||||||
All files are located in the my-app folder.
|
All files are located in the `my-app` folder.
|
||||||
|
All cursor rules are located in the `.cursor/rules` folder.
|
||||||
|
|
||||||
All cursor rules are located in the .cursor folder.
|
## Cursor Project Rules
|
||||||
|
|
||||||
## Cursor Rules Overview
|
|
||||||
|
|
||||||
### CV Platform Development Protocol
|
|
||||||
- **File**: `.cursor/rules/cv-platform-rules.mdc`
|
|
||||||
- **Description**: Contains development protocols for the CV platform, including security measures, LLM implementation rules, and task management guidelines.
|
|
||||||
|
|
||||||
### Project Overview
|
|
||||||
- **File**: `.cursor/rules/project_overview.mdc`
|
|
||||||
- **Description**: Provides a comprehensive overview of the CV optimization platform, including key features, tech stack, core functionalities, and additional requirements.
|
|
||||||
|
|
||||||
### Resume Resources
|
|
||||||
- **File**: `.cursor/rules/resume_resources.md`
|
|
||||||
- **Description**: A collection of resources for resume building, including templates, writing tools, and job websites.
|
|
||||||
|
|
||||||
### Task List
|
|
||||||
- **File**: `.cursor/rules/task_list.md`
|
|
||||||
- **Description**: Contains a list of tasks for the project, organized by priority and current sprint.
|
|
||||||
|
|
||||||
|
- **Project Overview**: `.cursor/rules/project_overview.md` - High-level project description, goals, and target audience.
|
||||||
|
- **Tech Stack**: `.cursor/rules/tech_stack.md` - Detailed technology stack being used for the project.
|
||||||
|
- **Features & Functionalities**: `.cursor/rules/features.md` - List of key features and functionalities to be implemented.
|
||||||
|
- **Development Requirements**: `.cursor/rules/requirements.md` - Non-functional requirements, best practices, and coding guidelines.
|
||||||
|
- **Task List**: `.cursor/rules/task_list.md` - Current task list with status and priority.
|
||||||
|
- **Resume Resources**: `.cursor/rules/resume_resources.md` - External resources and helpful links.
|
||||||
|
- **Coding Conventions**: `.cursor/rules/coding_conventions.md` - Specific coding style and conventions to follow.
|
||||||
|
- **Deployment Plan**: `.cursor/rules/deployment_plan.md` - Outline for deployment process and environment.
|
||||||
@ -18,6 +18,7 @@ if (!fs.existsSync(uploadDir)) {
|
|||||||
}
|
}
|
||||||
|
|
||||||
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
|
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
|
||||||
|
console.log("Received request for file upload"); // Debug log
|
||||||
const form = new formidable.IncomingForm();
|
const form = new formidable.IncomingForm();
|
||||||
form.uploadDir = uploadDir; // Set the upload directory
|
form.uploadDir = uploadDir; // Set the upload directory
|
||||||
form.keepExtensions = true; // Keep file extensions
|
form.keepExtensions = true; // Keep file extensions
|
||||||
@ -30,10 +31,12 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
|
|||||||
|
|
||||||
const file = files.cv; // Access the uploaded file
|
const file = files.cv; // Access the uploaded file
|
||||||
if (!file) {
|
if (!file) {
|
||||||
|
console.warn("No file uploaded."); // Warning log
|
||||||
return res.status(400).json({ error: "No file uploaded." });
|
return res.status(400).json({ error: "No file uploaded." });
|
||||||
}
|
}
|
||||||
|
|
||||||
const newFilePath = path.join(uploadDir, file.originalFilename || file.newFilename);
|
const newFilePath = path.join(uploadDir, file.originalFilename || file.newFilename);
|
||||||
|
console.log(`Moving file to: ${newFilePath}`); // Debug log
|
||||||
|
|
||||||
// Move the file to the desired location
|
// Move the file to the desired location
|
||||||
fs.rename(file.filepath, newFilePath, (err) => {
|
fs.rename(file.filepath, newFilePath, (err) => {
|
||||||
@ -41,6 +44,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
|
|||||||
console.error("Error saving the file:", err); // Log the error
|
console.error("Error saving the file:", err); // Log the error
|
||||||
return res.status(500).json({ error: "Error saving the file." });
|
return res.status(500).json({ error: "Error saving the file." });
|
||||||
}
|
}
|
||||||
|
console.log("File uploaded successfully!"); // Debug log
|
||||||
res.status(200).json({ message: "File uploaded successfully!" });
|
res.status(200).json({ message: "File uploaded successfully!" });
|
||||||
});
|
});
|
||||||
});
|
});
|
||||||
|
|||||||
@ -6,7 +6,8 @@
|
|||||||
"dev": "next dev --turbopack",
|
"dev": "next dev --turbopack",
|
||||||
"build": "next build",
|
"build": "next build",
|
||||||
"start": "next start",
|
"start": "next start",
|
||||||
"lint": "next lint"
|
"lint": "next lint",
|
||||||
|
"debug": "NODE_DEBUG=next node server.js"
|
||||||
},
|
},
|
||||||
"dependencies": {
|
"dependencies": {
|
||||||
"formidable": "^3.5.2",
|
"formidable": "^3.5.2",
|
||||||
|
|||||||
@ -1,13 +0,0 @@
|
|||||||
#!/bin/zsh
|
|
||||||
|
|
||||||
# Install core dependencies
|
|
||||||
brew install poppler
|
|
||||||
npm install -D eslint @types/node
|
|
||||||
|
|
||||||
# Configure Cline models
|
|
||||||
curl -O https://raw.githubusercontent.com/instructa/ai-prompts/main/cline-defaults.json
|
|
||||||
|
|
||||||
# Setup Python virtualenv
|
|
||||||
python -m venv .venv
|
|
||||||
source .venv/bin/activate
|
|
||||||
pip install -r requirements.txt
|
|
||||||
151
setup-project.sh
151
setup-project.sh
@ -1,151 +0,0 @@
|
|||||||
#!/bin/bash
|
|
||||||
|
|
||||||
# Create directory structure
|
|
||||||
mkdir -p \
|
|
||||||
.cursor/rules \
|
|
||||||
.cursor/config \
|
|
||||||
.cursor/prompts \
|
|
||||||
.notes/meeting_notes \
|
|
||||||
scripts \
|
|
||||||
utils
|
|
||||||
|
|
||||||
# Create core configuration files
|
|
||||||
cat > .cursor/rules/cv-platform-rules.mdc <<EOF
|
|
||||||
**CV Platform Development Protocol**
|
|
||||||
1. Security First:
|
|
||||||
- Always sanitize user input using DOMPurify
|
|
||||||
- Encrypt resume files with AES-256-GSM during storage
|
|
||||||
|
|
||||||
2. LLM Implementation Rules:
|
|
||||||
- Use OpenAI text-embedding-3-small for semantic analysis
|
|
||||||
- Maintain 0.7 temperature for balance between creativity/accuracy
|
|
||||||
- Verify ATS keyword suggestions against JobCopilot's latest data
|
|
||||||
|
|
||||||
3. Task Management:
|
|
||||||
- Reference .notes/task_list.md before making changes
|
|
||||||
- Create atomic Git commits per feature using Conventional Commits
|
|
||||||
EOF
|
|
||||||
|
|
||||||
cat > .cursor/config/llm-params.json <<EOF
|
|
||||||
{
|
|
||||||
"defaultModel": "claude-3.5-sonnet-20240620",
|
|
||||||
"fallbackModel": "gpt-4-turbo-2024-04-09",
|
|
||||||
"temperature": {
|
|
||||||
"codeGeneration": 0.3,
|
|
||||||
"errorDebugging": 0.7
|
|
||||||
},
|
|
||||||
"contextWindow": 16000
|
|
||||||
}
|
|
||||||
EOF
|
|
||||||
|
|
||||||
# Create task tracking system
|
|
||||||
cat > .notes/task_list.md <<EOF
|
|
||||||
## P-0: Critical Path (Current Sprint)
|
|
||||||
- [ ] Implement PDF parser using PyPDF2 and @breezypdf/pdf-extract
|
|
||||||
- [ ] Create ATS keyword mapping system (Due: 2025-03-01)
|
|
||||||
|
|
||||||
## P-1: Near-Term Backlog
|
|
||||||
- [ ] Design premium subscription flow
|
|
||||||
- [ ] Research GDPR-compliant storage solutions
|
|
||||||
|
|
||||||
## P-X: Innovation Pipeline
|
|
||||||
- [ ] Experiment with Claude 3 Opus for cover letter generation
|
|
||||||
EOF
|
|
||||||
|
|
||||||
# Create prompt engineering files
|
|
||||||
cat > .cursor/prompts/cv-analysis.md <<EOF
|
|
||||||
# CV Enhancement Workflow
|
|
||||||
|
|
||||||
1. **Structural Analysis**
|
|
||||||
- Identify missing sections using industry benchmarks
|
|
||||||
- Check chronological consistency of employment history
|
|
||||||
|
|
||||||
2. **ATS Optimization**
|
|
||||||
- Cross-reference with 50+ tracking systems
|
|
||||||
- Generate keyword gap report
|
|
||||||
|
|
||||||
3. **LLM Enhancement**
|
|
||||||
- Rewrite summaries using power verbs
|
|
||||||
- Convert responsibilities to measurable achievements
|
|
||||||
EOF
|
|
||||||
|
|
||||||
cat > .cursor/prompts/error-handling.md <<EOF
|
|
||||||
**Debugging Process**
|
|
||||||
1. Reproduce the error in isolation
|
|
||||||
2. Analyze stack trace with @backend/logger.js
|
|
||||||
3. Propose 3 potential solutions with pros/cons
|
|
||||||
4. Implement safest option with rollback plan
|
|
||||||
EOF
|
|
||||||
|
|
||||||
# Create development workflow files
|
|
||||||
cat > scripts/setup-environment.sh <<EOF
|
|
||||||
#!/bin/zsh
|
|
||||||
|
|
||||||
# Install core dependencies
|
|
||||||
brew install poppler
|
|
||||||
npm install -D eslint @types/node
|
|
||||||
|
|
||||||
# Configure Cline models
|
|
||||||
curl -O https://raw.githubusercontent.com/instructa/ai-prompts/main/cline-defaults.json
|
|
||||||
|
|
||||||
# Setup Python virtualenv
|
|
||||||
python -m venv .venv
|
|
||||||
source .venv/bin/activate
|
|
||||||
pip install -r requirements.txt
|
|
||||||
EOF
|
|
||||||
|
|
||||||
chmod +x scripts/setup-environment.sh
|
|
||||||
|
|
||||||
# Create sample code files
|
|
||||||
cat > utils/resume_analysis.py <<EOF
|
|
||||||
from openai import OpenAI
|
|
||||||
from pdfminer.high_level import extract_text
|
|
||||||
|
|
||||||
client = OpenAI()
|
|
||||||
|
|
||||||
def analyze_resume(file_path):
|
|
||||||
text = extract_text(file_path)
|
|
||||||
response = client.chat.completions.create(
|
|
||||||
model="gpt-4-turbo",
|
|
||||||
messages=[{
|
|
||||||
"role": "system",
|
|
||||||
"content": "Analyze resume for:\\n1. Missing ATS keywords\\n2. Skill gaps\\n3. Achievement opportunities"
|
|
||||||
},
|
|
||||||
{"role": "user", "content": text}]
|
|
||||||
)
|
|
||||||
return response.choices[0].message.content
|
|
||||||
EOF
|
|
||||||
|
|
||||||
cat > utils/pdf.worker.js <<EOF
|
|
||||||
const { PDFDocument } = require('pdf-lib');
|
|
||||||
|
|
||||||
self.addEventListener('message', async (e) => {
|
|
||||||
const pdfDoc = await PDFDocument.load(e.data);
|
|
||||||
const pages = pdfDoc.getPages();
|
|
||||||
const textContent = pages.map(p => p.getTextContent());
|
|
||||||
self.postMessage(textContent);
|
|
||||||
});
|
|
||||||
EOF
|
|
||||||
|
|
||||||
# Create project documentation
|
|
||||||
cat > .notes/project_overview.md <<EOF
|
|
||||||
# CV Optimization Platform
|
|
||||||
|
|
||||||
## Key Features
|
|
||||||
- AI-powered resume analysis
|
|
||||||
- ATS compliance checking
|
|
||||||
- Real-time editing suggestions
|
|
||||||
- GDPR-compliant storage
|
|
||||||
|
|
||||||
## Tech Stack
|
|
||||||
- React.js frontend
|
|
||||||
- Node.js/Express.js backend
|
|
||||||
- MongoDB database
|
|
||||||
- OpenAI/Cline LLM integration
|
|
||||||
EOF
|
|
||||||
|
|
||||||
echo "Project structure created successfully!"
|
|
||||||
echo "Next steps:"
|
|
||||||
echo "1. Run 'chmod +x scripts/*.sh'"
|
|
||||||
echo "2. Run 'scripts/setup-environment.sh'"
|
|
||||||
echo "3. Install VS Code/Cursor extensions from .vscode/extensions.json"
|
|
||||||
Loading…
x
Reference in New Issue
Block a user