An AI-powered web application that helps job seekers tailor their resumes by comparing them against real-time job postings and recommending upskilling courses.
- Languages: Python, JavaScript, HTML, CSS
- Frameworks/Libraries: Flask, React, Vite, BeautifulSoup4, PyMuPDF
- AI/ML: Google Gemini API (Generative AI)
- APIs: Adzuna (Job Search), Serper (Course Search)
- Infrastructure: Google Cloud Run (Backend), Firebase Hosting (Frontend)
- Resume Parsing: Extracts professional and technical skills from PDF resumes using AI.
- Real-time Job Matching: Scrapes live job postings and calculates a match percentage based on skill overlap.
- Skill Gap Analysis: Identifies missing skills required for specific job roles.
- Smart Course Recommendations: Automatically suggests relevant Coursera courses to bridge skill gaps.
- Match Accuracy: Uses fuzzy matching logic to compare resume skills against job descriptions with high precision.
- Real-time Processing: Streaming response implementation provides immediate feedback during the analysis pipeline.
# Clone the repository
git clone https://github.com/hungkaihsin/NLP-LLM.git
# 1. Backend Setup
cd backend
pip install -r requirements.txt
# Create a .env file with GEMINI_API_KEY, ADZUNA_APP_ID, ADZUNA_API_KEY, SERPAPI_API_KEY
python src/app.py
# 2. Frontend Setup (in a new terminal)
cd frontend
npm install
npm run devCreated by Daniel - [email protected] | LinkedIn | Portfolio