CV Match
Project Overview
- Type: Web Application
- Platform: Web Browser (Streamlit-based)
- Timeline: 2023-2024
- Role: Full Stack Developer
Application Screenshots
Resume Analysis and Job Matching Interface
Skills Comparison and Gap Analysis
AI-Powered Cover Letter Generation
Problem Statement
Job seekers often struggle to effectively match their CVs with job descriptions and create tailored cover letters that highlight their relevant experience.
Target Demographics
Job seekers and professionals looking to analyze their CV against job descriptions
Market Gap
Need for an automated, AI-powered tool that can analyze CV-job description matches and generate personalized cover letters
Key Challenges
Accurate matching analysis, meaningful scoring system, and generation of relevant cover letters
Design Process
- Research Methodology: Iterative development with focus on user experience and AI integration
- User Interviews: Feedback from job seekers and HR professionals
- Competitive Analysis: Evaluation of existing CV analysis tools and their limitations
- Key Insights: Need for both quantitative scoring and qualitative analysis in CV matching
System Design
- Architecture: Python-based web application using Streamlit framework with SQLite database
- Data Flow: CV input → AI Analysis → Database Storage → User Interface
- Component Interaction: Frontend (Streamlit) ↔ Backend (Python) ↔ Database (SQLite) ↔ AI (OpenAI GPT)
- Technical Considerations: Data privacy, API rate limiting, response time optimization
- Scalability Plans: Database optimization, caching mechanisms, API request management