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You will get AI Resume Parser Resume Screener Resume Ranker Resume Ranking system api
Project details
š Project Overview
You will get a complete AI-powered resume parsing and candidate screening system designed to automate your hiring workflow.
This system goes beyond basic keyword matching by using NLP and AI to intelligently extract, analyze, and rank candidates based on your job requirements.
š What this system does
Parse resumes (PDF, DOC, DOCX)
Extract structured data (skills, experience, education)
Match candidates to job descriptions
Rank candidates using custom scoring logic
Generate AI-based screening summaries
Process multiple resumes in batch
Export results (CSV, JSON, or API)
āļø Technical Implementation
Python + Django backend
NLP-based skill extraction
AI/LLM integration (optional)
REST API for integration
Scalable and modular architecture
š¼ Use Cases
Recruiters & HR teams
Startups hiring at scale
SaaS platforms needing resume parsing APIs
šÆ Why choose me
I build production-ready systems ā not just demos.
You will receive clean, structured, and scalable code that can be extended and integrated easily.
You will get a complete AI-powered resume parsing and candidate screening system designed to automate your hiring workflow.
This system goes beyond basic keyword matching by using NLP and AI to intelligently extract, analyze, and rank candidates based on your job requirements.
š What this system does
Parse resumes (PDF, DOC, DOCX)
Extract structured data (skills, experience, education)
Match candidates to job descriptions
Rank candidates using custom scoring logic
Generate AI-based screening summaries
Process multiple resumes in batch
Export results (CSV, JSON, or API)
āļø Technical Implementation
Python + Django backend
NLP-based skill extraction
AI/LLM integration (optional)
REST API for integration
Scalable and modular architecture
š¼ Use Cases
Recruiters & HR teams
Startups hiring at scale
SaaS platforms needing resume parsing APIs
šÆ Why choose me
I build production-ready systems ā not just demos.
You will receive clean, structured, and scalable code that can be extended and integrated easily.
AI Algorithms
Convolutional Neural Network, Large Language Model, Multilayer Perceptron, Recurrent Neural Network, Regression Analysis, Transformer Model, YOLOAI Applications
AI Chatbot, AI Mobile App Development, AI-Generated Code, Conversational AI, Machine Translation, Natural Language Generation, Natural Language Understanding, Sequence Modeling, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, NVIDIA AI Platform, PyTorch, Replit, Streamlit, TensorFlow, Word2vecAI Models
BERT, ChatGPT, DALL-E, LLaMA, Midjourney AI, OpenAI Codex, Stable DiffusionWhat's included
| Service Tiers |
Starter
$20
|
Standard
$50
|
Advanced
$80
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 2 | 4 | 1 |
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 | - |
Frequently asked questions
About M.
Custom Coded Web Apps
Islamabad, PakistanĀ - 4:43 pm local time
Most of my work is in Django and React, where I build web apps that are structured properly and hold up once people actually start using them.
Over time, Iāve gotten very good at the parts that usually break projects ā backend logic, API flow, database design, and keeping the frontend straightforward so users donāt have to think twice.
My usual stack:
Backend: Django, DRF
Frontend: React, Next.js, Tailwind
Databases: PostgreSQL
Deployments: Vercel, Render, Google Cloud
I just try to keep things simple: be clear when talking, deliver when I say I will, and build stuff that really works, not just looks nice in a screenshot.
If you have an idea or a half-finished project Iām here to help you get it up and running without the stress or unnecessary complications.
Steps for completing your project
After purchasing the project, send requirements so M. can start the project.
Delivery time starts when M. receives requirements from you.
M. works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & Job Analysis
Gather resumes, job description, and define ranking criteria and output format.
Resume Parsing & Data Extraction
Extract structured data including skills, experience, and education from resumes.