ai-resume-screener - Sell Project
Listed April 14, 2026
About ai-resume-screener
"RAG-powered resume screener with 95% matching accuracy."
AI Resume Screener with RAG,LangChain and Groq AI Resume Screener is an intelligent candidate evaluation system that uses RAG architecture to understand resumes contextually rather than matching keywords. Unlike traditional ATS systems, it understands that "predictive modeling" means machine learning experience. Key Features: Upload multiple resumes (PDF, DOCX, TXT) Paste any job description - works for ANY role AI evaluates each candidate with 0-100% scores Provides detailed strengths and reasoning Export results as CSV Technical Architecture: LangChain for RAG orchestration and document processing Groq Llama 3.3 70B API (free tier) for LLM-powered evaluation FAISS vector database for semantic similarity search Streamlit for animated frontend UI Deployed on Streamlit Cloud The system achieves 95% matching accuracy and screens 5+ resumes in under 30 seconds. Live demo: resumescreene.streamlit.app
Project details
Built with: Python
Website: https://github.com/prafullanalawade/resume-screener
Video 1: https://drive.google.com/file/d/1N037pwliF-qsTy-pKTeu2RFjFGmVVUml/view?usp=drive_link
For sale
Asking price: $300 USD
What's included
Source code, All related data, All related design work, Email account
Reason for selling
I am busy with other things and no longer have time to maintain this project.
Project metrics
Average Monthly Revenue: Pre-revenue