AI Resume Screener Pro MVP
An AI resume parser and ranker built with FastAPI and Streamlit.
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About
About the Project:This is a fully functional MVP (Minimum Viable Product) for an AI-powered Resume Screener and Ranker application[span_0](start_span)[span_0](end_span). It features a clean, professional architecture separating the backend API from the user interface[span_1](start_span)[span_1](end_span).Key Features:* FastAPI Backend: High-performance API handling structural operations and resume processing[span_2](start_span)[span_2](end_span).* Streamlit UI: A clean, easy-to-use frontend where users can input job titles and upload PDF resumes directly[span_3](start_span)[span_3](end_span).* Dynamic Database: SQLite integration to add, update, and manage core matching skills dynamically instead of hardcoding them[span_4](start_span)[span_4](end_span).* PDF Text Extraction: Built-in automated parsing using pypdf to extract text straight from uploaded documents[span_5](start_span)[span_5](end_span).* LLM Integration Ready: Includes a clean service layer structure and placeholder setup, ready to be plugged directly into Google Gemini API or OpenAI API[span_6](start_span)[span_6](end_span).What is included in the sale?Complete source code including main.py, db.py, service.py, utils.py, streamlit_app.py, requirements.txt, and setup documentation (README.md)[span_7](start_span)[span_7](end_span).
Comments (1)
Clean interface looks super polished for an MVP
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