You will get Custom AI Resume Screening & Recruitment System
Project details
You will get a custom AI-powered recruitment and resume screening system designed to automate candidate analysis, matching, and ranking.
The solution can extract structured information from resumes, understand job requirements, identify relevant skills and experience, score candidates, and rank the strongest matches.
I can build the pipeline using Python, NLP, machine learning, and modern AI technologies, with configurable screening criteria and structured candidate insights.
Possible features include:
• Resume parsing and information extraction
• Job description analysis
• AI/NLP-based skill matching
• Candidate scoring and ranking
• Experience and qualification matching
• Semantic resume search
• Candidate comparison
• Recruitment analytics
• API integration
• Custom dashboards
• Model validation and documentation
The system can be customized for startups, recruitment agencies, HR teams,s and businesses with high-volume hiring requirements.
I focus on building practical, maintainable AI solutions rather than generic demos, with clear data processing, testing, and reproducible results.
The solution can extract structured information from resumes, understand job requirements, identify relevant skills and experience, score candidates, and rank the strongest matches.
I can build the pipeline using Python, NLP, machine learning, and modern AI technologies, with configurable screening criteria and structured candidate insights.
Possible features include:
• Resume parsing and information extraction
• Job description analysis
• AI/NLP-based skill matching
• Candidate scoring and ranking
• Experience and qualification matching
• Semantic resume search
• Candidate comparison
• Recruitment analytics
• API integration
• Custom dashboards
• Model validation and documentation
The system can be customized for startups, recruitment agencies, HR teams,s and businesses with high-volume hiring requirements.
I focus on building practical, maintainable AI solutions rather than generic demos, with clear data processing, testing, and reproducible results.
Machine Learning Tools
BERT, ChatGPT, Keras, MLflow, NLTK, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, PyTorch, scikit-learn, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$50
|
Standard
$120
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 2 | 3 | 3 |
Number of Model Variations | 1 | 3 | 2 |
Number of Scenarios | 1 | 2 | 2 |
Number of Graphs/Charts | 1 | 3 | 4 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Frequently asked questions
About M Asad
Machine Learning Engineer | AI, LLM, RAG & Computer Vision
Lahore, Pakistan - 12:54 pm local time
I’m a Machine Learning Engineer and Python Developer specializing in building practical AI and machine learning solutions from model development to API and application integration.
My core expertise includes:
• Machine Learning & Deep Learning
• Python, TensorFlow, Keras & Scikit-Learn
• LLM Applications, RAG & AI Agents
• LangChain & LangGraph
• Vector Databases — FAISS, Chroma & Qdrant
• NLP & AI Chatbots
• Computer Vision, OpenCV & YOLO
• FastAPI & REST APIs
• Predictive Analytics & Data Analysis
• React, Streamlit, Docker & Git/GitHub
I have professional experience designing and deploying ML services across NLP, computer vision, and predictive analytics. I’ve also built FastAPI-based REST APIs for ML models and integrated AI features into web applications.
My project experience includes an LLM-powered RAG assistant with agentic workflows, an agriculture AI assistant with English/Urdu chatbot support, a multimodal emotion-based recommendation system, a real-time fire detection system, and a YOLO-based object detection application.
I focus on building solutions that are practical, reliable, and ready to move beyond a basic prototype.
If you need help with an AI/ML model, RAG application, AI agent, computer vision system, predictive analytics solution, or FastAPI ML backend, I’d be happy to help.
Let’s turn your AI idea into a working solution.
Steps for completing your project
After purchasing the project, send requirements so M Asad can start the project.
Delivery time starts when M Asad receives requirements from you.
M Asad works on your project following the steps below.
Revisions may occur after the delivery date.
Understand Requirements
Review the job description, hiring criteria, resume data, and required screening workflow.
Build AI/NLP Pipeline
Parse resumes, extract candidate information, and match qualifications against job requirements.