- 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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| description | globs |
|---|---|
| Provides a high-level overview of the CV Optimization Platform project, its goals, and target users. |
CV Optimization Platform Project Overview
Project Goal
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).
Target Audience
Job seekers who want to:
- Improve the quality and effectiveness of their CVs.
- Optimize their CVs for Applicant Tracking Systems (ATS).
- Increase their chances of getting noticed by recruiters and hiring managers.
- Save time and effort in CV writing.
Key Success Metrics
- User satisfaction (measured through feedback and surveys).
- Number of CVs analyzed and improved.
- User engagement (frequency of use, feature adoption).
- Positive impact on users' job search outcomes (ideally tracked through user testimonials or optional success stories).
Project Status
Currently in the initial development phase, focusing on core functionalities (CV upload, AI analysis, suggestion display).