You will get an AI Resume Screening Tool to Rank Candidates Automatically
Project details
You will get an AI-powered resume screening and candidate ranking system that helps recruiters quickly identify the most suitable candidates for a job role.
This system automatically analyzes resumes using Natural Language Processing (NLP) to extract skills, experience, education, and qualifications. It then compares this information with the job description to rank candidates based on relevance, helping hiring teams save time and make better hiring decisions.
Unlike manual resume review, this AI system can process large numbers of resumes efficiently and highlight the strongest candidates instantly. It is ideal for HR teams, recruitment agencies, and companies handling high volumes of applications.
The platform can include resume parsing, skill matching, candidate scoring, and a recruiter dashboard where hiring managers can easily review ranked applicants.
Key Features
• Automatic resume parsing and data extraction
• AI-based candidate ranking algorithm
• Skill and experience matching with job descriptions
• Recruiter dashboard for reviewing candidates
• Scalable system for processing multiple resumes
This system automatically analyzes resumes using Natural Language Processing (NLP) to extract skills, experience, education, and qualifications. It then compares this information with the job description to rank candidates based on relevance, helping hiring teams save time and make better hiring decisions.
Unlike manual resume review, this AI system can process large numbers of resumes efficiently and highlight the strongest candidates instantly. It is ideal for HR teams, recruitment agencies, and companies handling high volumes of applications.
The platform can include resume parsing, skill matching, candidate scoring, and a recruiter dashboard where hiring managers can easily review ranked applicants.
Key Features
• Automatic resume parsing and data extraction
• AI-based candidate ranking algorithm
• Skill and experience matching with job descriptions
• Recruiter dashboard for reviewing candidates
• Scalable system for processing multiple resumes
AI Algorithms
Feedforward Neural Network, Large Language Model, Multilayer Perceptron, Recurrent Neural Network, Regression Analysis, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Enhanced Classification, AI-Generated Code, Anomaly Detection, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Sequence Modeling, Text RecognitionAI Development Language
PythonAI Tools
GitHub Copilot, Hugging Face, PyTorch, Replit, Streamlit, TensorFlow, Word2vecAI Models
BERT, ChatGPT, GPT-3, GPT-4, GPT-J, GPT-Neo, LLaMA, Naive Bayes ClassifierWhat's included
| Service Tiers |
Starter
$25
|
Standard
$65
|
Advanced
$120
|
|---|---|---|---|
| Delivery Time | 1 day | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | ||
Model Documentation | |||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | ||
Natural Language Processing | |||
NLP Tokenization | |||
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$25 - $60
Resume Dataset Training
(+ 1 Day)
+$20
Recruiter Dashboard UI
(+ 2 Days)
+$35
ATS Integration
(+ 3 Days)
+$40Frequently asked questions
About Mohammad Abdur Rehman
SaaS | AI Models | AI Apps | AI, SaaS, Python Expert
Lahore Cantt, Pakistan - 3:40 am local time
I'm Abdur Rehman, a Full-Stack AI Engineer and CTO specializing in production-ready AI SaaS platforms, RAG systems, and autonomous AI agents. I've shipped an AI fitness coach with real-time computer vision feedback, an AI exam generator that creates quizzes automatically from course syllabi, and an architecture intelligence system that analyzes entire codebases and generates risk-aware engineering decisions.
I don't build prototypes. I build systems that scale.
What I bring to your AI project:
I design and deploy RAG pipelines using LangChain, OpenAI, and vector databases so your AI retrieves accurate contextual information instead of hallucinating. I build AI agents with autonomous decision-making workflows that handle real business logic end to end. I architect FastAPI backends that are clean, scalable, and production-ready from the first deployment. I integrate LLMs into SaaS platforms with proper authentication, billing, and dashboards so you have a complete product, not just an AI feature. I handle LLM evaluation, testing, and optimization so your system performs reliably under real usage.
IBM is certified in RAG and Agentic AI. Google Cloud certified. Top 4 nationally in Google Code Jam 2021.
If you're building an AI product and need someone who thinks about reliability, scalability, and user impact before writing the first line of code, let's talk.
What are you building?
Steps for completing your project
After purchasing the project, send requirements so Mohammad Abdur Rehman can start the project.
Delivery time starts when Mohammad Abdur Rehman receives requirements from you.
Mohammad Abdur Rehman works on your project following the steps below.
Revisions may occur after the delivery date.
Project requirements review
Review the job description, resumes, and hiring criteria to understand how candidates should be evaluated and ranked.
Resume parsing development
Build the NLP pipeline to extract skills, experience, education, and other key information from resumes.