🤖 AI CV Builder
❓ Business Question
Crafting a compelling cover letter and summary for a job application can be intimidating. It requires distilling your skills, experience, and personality into a concise narrative that stands out — especially in a world where companies use keyword-driven AI to screen candidates.
🧹 Data Extraction and Processing
🔍 Scrape LinkedIn job listings based on keyword, location, and filters
🧠 Extract key skills using NLP and TF-IDF
✨ Generate cover letters and About Me sections using Gemini AI
📊 Interactive UI built with Streamlit
💾 Store job data in MySQL for reuse and analysis
This project simplifies the job application process by:
✅ Scraping job data (Data Analyst, Data Scientist, Data Engineer, etc.) from LinkedIn using Playwright and BeautifulSoup
✅ Storing the data in a MySQL database
✅ Analyzing job descriptions using Natural Language Processing (NLP) to extract and weigh important keywords
✅ Using Gemini AI in a Streamlit app to generate tailored cover letters and "About Me" sections
📌 Check out the live app here:
🔗 Web Scraping Data Jobs & Automation App
⚙️ Operational Efficiency
The system is designed for performance and reusability. Data is stored in a structured format in MySQL, making it easy to refresh and re-analyze without scraping every time. This reduces API and bandwidth usage and improves user experience.
🎯 User Personalization
The AI-generated content is tailored for each user. Based on job descriptions, the app adapts cover letters and summaries to emphasize keywords and soft skills. It also helps users understand what employers are looking for, giving them a competitive edge.
