You will get I will build an AI Resume Screening & Ranking System using Python & OpenAI
Project details
I will build a powerful AI-powered Resume Screening
and Ranking System that automatically analyzes, scores,
and ranks candidates based on your job requirements —
eliminating hours of manual resume review.
Simply upload your resumes and job description, and the
AI instantly delivers ranked results with match scores
and detailed reasoning for every candidate.
✅ What You Will Get:
• Bulk PDF/DOCX resume upload & processing
• AI-powered skill & experience extraction
• Automatic candidate ranking with fit scores
• Detailed reasoning report per candidate
• Clean dashboard + exportable CSV/PDF report
• Multi-job description support (Advanced tier)
• 100+ resumes processed within minutes
🛠️ Tech Stack:
Python · LangChain · OpenAI GPT · Streamlit · PyPDF2
🎯 Perfect For:
HR managers, recruiters, startups, and hiring teams
who want to automate screening and hire smarter.
💬 Have questions before ordering?
Feel free to message me — I respond within 1 hour!
and Ranking System that automatically analyzes, scores,
and ranks candidates based on your job requirements —
eliminating hours of manual resume review.
Simply upload your resumes and job description, and the
AI instantly delivers ranked results with match scores
and detailed reasoning for every candidate.
✅ What You Will Get:
• Bulk PDF/DOCX resume upload & processing
• AI-powered skill & experience extraction
• Automatic candidate ranking with fit scores
• Detailed reasoning report per candidate
• Clean dashboard + exportable CSV/PDF report
• Multi-job description support (Advanced tier)
• 100+ resumes processed within minutes
🛠️ Tech Stack:
Python · LangChain · OpenAI GPT · Streamlit · PyPDF2
🎯 Perfect For:
HR managers, recruiters, startups, and hiring teams
who want to automate screening and hire smarter.
💬 Have questions before ordering?
Feel free to message me — I respond within 1 hour!
Machine Learning Tools
BERT, ChatGPT, GitHub Copilot, GPT-3, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SQL, XGBoostWhat's included
| Service Tiers |
Starter
$15
|
Standard
$30
|
Advanced
$50
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 0 | 0 | 0 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$15 - $25About Abdul
RAG Systems & LLM Developer | Python FastAPI
Karachi, Pakistan - 3:42 am local time
If you are looking to move past generic OpenAI API calls and need a secure, custom AI application that interacts flawlessly with your private data, I can execute it quickly. I specialize in closing the gap between a raw concept and a high-performance, deployed product using Python, FastAPI, and LangChain.
🛠️ Core Technical Stack & Capabilities:
- Custom RAG Systems: Connecting LLMs to your PDFs, SQL databases, and enterprise documentation using LangChain, LlamaIndex, and Vector DBs (ChromaDB/Pinecone).
- Production API Deployment: Wrapping complex AI models into lightning-fast, production-ready APIs via FastAPI or Flask.
- Interactive UI Frontends: Rapidly prototyping and deploying user-facing interfaces using Streamlit.
- Data & Machine Learning Pipelines: End-to-end data cleaning, tokenization, preprocessing, and model fine-tuning.
🌟 Recent Portfolio Successes (Code available on GitHub):
1. AI Resume Intelligence: A semantic screening system that ranks thousands of candidates based on job relevance with 90%+ accuracy.
2. Enterprise PDF Brain: A RAG-based assistant that provides instant, sourced answers from large volumes of internal text notes.
3. Student Performance Predictor: A predictive analytics tool built using Scikit-Learn to identify patterns and outcomes.
I write clean, scalable Python code and ensure your AI remains cost-effective and reliable long after deployment.
Ready to turn your AI vision into a working application? Let’s connect and discuss your architecture!
Steps for completing your project
After purchasing the project, send requirements so Abdul can start the project.
Delivery time starts when Abdul receives requirements from you.
Abdul works on your project following the steps below.
Revisions may occur after the delivery date.
2
Extracting and cleaning text from PDF/DOCX resume files and preparing data for AI processing.