You will get AI-Powered Resume Analyzer with NLP
Project details
Project Description
The Resume Analyzer App is an AI-powered tool designed to assist HR professionals and recruiters in evaluating resumes efficiently. It uses NLP techniques to extract structured information from resumes and compares them against job descriptions to generate a custom Fit Score. The app supports real-time updates and CSV export for persistent results.
Project Summary
Built using Python, Streamlit, spaCy, NLTK, and pyresparser, this app automates resume screening by extracting key details like skills, experience, education, and contact information. It calculates a relevance score based on keyword matching and experience alignment, helping recruiters shortlist candidates faster. The app also provides resume feedback using Gemini.
What Sets This Project Apart
Custom Fit Score Algorithm based on job description matching.
Real-time resume parsing and scoring with persistent CSV export.
Advanced experience extraction using regex and NLP.
Streamlit interface optimized for usability and recruiter workflow.
Gemini-powered resume feedback (excluding scoring).
The Resume Analyzer App is an AI-powered tool designed to assist HR professionals and recruiters in evaluating resumes efficiently. It uses NLP techniques to extract structured information from resumes and compares them against job descriptions to generate a custom Fit Score. The app supports real-time updates and CSV export for persistent results.
Project Summary
Built using Python, Streamlit, spaCy, NLTK, and pyresparser, this app automates resume screening by extracting key details like skills, experience, education, and contact information. It calculates a relevance score based on keyword matching and experience alignment, helping recruiters shortlist candidates faster. The app also provides resume feedback using Gemini.
What Sets This Project Apart
Custom Fit Score Algorithm based on job description matching.
Real-time resume parsing and scoring with persistent CSV export.
Advanced experience extraction using regex and NLP.
Streamlit interface optimized for usability and recruiter workflow.
Gemini-powered resume feedback (excluding scoring).
Machine Learning Tools
BERT, NLTK, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$300
|
Standard
$800
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | Unlimited |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 3 | 20 |
Number of Graphs/Charts | 2 | 5 | 10 |
Model Validation/Testing | - | ||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code | - | - |
About Md Atiqur
Full-Stack .NET Developer | AI/ML Engineer
Dhaka, Bangladesh - 5:09 am local time
🚀 WHAT I BRING TO YOUR PROJECT:
- 6+ years of production-grade .NET development experience
- 1+ year specialized in Machine Learning and AI applications
- Proven track record building intelligent systems that solve real business problems
💼 RECENT AI/ML PROJECTS:
✅ Image Recognition System - Custom ML model with 95%+ accuracy for [use case]
✅ AI-Powered Resume Analyzer - NLP-based automated screening system
✅ MeetingAI - Real-time meeting transcription and intelligent summary generation
🛠️ TECHNICAL EXPERTISE:
Machine Learning & AI:
- Deep Learning: TensorFlow, PyTorch, Keras
- Computer Vision: OpenCV, YOLO, Image Classification
- NLP: spaCy, NLTK, Text Analysis, Document Parsing
- ML Frameworks: scikit-learn, XGBoost
- Model Deployment: Docker, REST APIs, Cloud Integration
.NET Development:
- Languages: C#, ASP.NET Core, .NET Framework
- Databases: SQL Server, Entity Framework, Dapper
- Architecture: Microservices, Clean Architecture, DDD
- Cloud: Azure, AWS
- APIs: RESTful, GraphQL, gRPC
🎯 WHY WORK WITH ME:
- I bridge the gap between enterprise .NET systems and modern AI
- Available 20-25 hours/week with flexible time zones
- Clear communication in English
- 100% job success rate target with quality deliverables
📍 Based in Dhaka, Bangladesh | Open to long-term collaborations
Let's discuss how I can help bring intelligence to your applications!
Steps for completing your project
After purchasing the project, send requirements so Md Atiqur can start the project.
Delivery time starts when Md Atiqur receives requirements from you.
Md Atiqur works on your project following the steps below.
Revisions may occur after the delivery date.
Client shares job description and sample resumes
The client provides the job circular or description and a few sample resumes to analyze.
Initial setup and requirement confirmation
I review the materials, confirm the scope, and finalize the Fit Score criteria and feedback expectations.