🧾 AI Resume Parser & Shortlister
The AI Resume Parser & Shortlister is a powerful recruitment automation tool that extracts structured information from resumes, evaluates candidate profiles, and recommends top-fit candidates using Natural Language Processing (NLP) and Machine Learning. Designed for hiring platforms, HR teams, and applicant tracking systems.
🔍 Key Features
- 📄 Upload and parse resumes in PDF, DOCX, TXT formats
- 📌 Extract details: Name, Contact, Skills, Education, Experience
- 🎯 Match candidates to job descriptions using similarity scoring
- 📊 Rank and shortlist top candidates automatically
- 🧠 Skill inference using keyword and context analysis
- 📂 Export structured data in JSON, CSV, or API format
- 🛡️ GDPR-compliant PII handling and anonymization options
- 📈 Admin panel with job-wise statistics and filtering
🏗️ Architecture Flow Diagram
+--------------------------+
| Frontend UI Panel |
| (Upload, Results, Admin) |
+------------+-------------+
|
v
+-------+-------+
| Resume Parser |
+-------+-------+
|
v
+------------+--------------+
| Extracted Resume Data |
| (Name, Skills, Experience)|
+------------+--------------+
|
v
+------------+--------------+
| Job Matching Engine |
| (NLP + Similarity Scoring)|
+------------+--------------+
|
v
+------------+--------------+
| Ranked Candidate Output |
| (Top-N Shortlist) |
+---------------------------+
⚙️ Technical Flow
- Upload Stage: HR uploads resume(s) and selects job description template.
- Parsing Stage: Each resume is parsed using NLP techniques (Spacy / custom rules / ML models).
- Extraction: Core fields like name, contact, education, experience, skills, and certifications are extracted.
- Matching Stage: Resume data is compared to the job description using vector similarity (e.g., cosine similarity).
- Ranking Stage: Candidate fit score is calculated and sorted into a shortlist.
- Output: Final results shown in dashboard or exported to Excel/ATS via API.
🧪 Tech Stack
- Frontend: React, Vue, Bootstrap, Elementor UI
- Backend: FastAPI / Flask / Node.js
- Parsing Engine: Spacy, PyPDF2, docx2txt
- NLP Matching: SBERT, TF-IDF, cosine similarity
- Storage: PostgreSQL or MongoDB
- File Handling: AWS S3 or local filesystem
- API Integration: JSON / REST API
🚀 Optional Add-ons
- 📂 Bulk resume upload via zip or email forwarding
- 🧠 Candidate profiling with inferred soft skills & intent
- 🧩 Integration with ATS like Greenhouse, Lever, or Zoho Recruit
- 📲 Mobile interface for shortlisting on-the-go
- 📈 Interview-ready scorecards for each shortlisted profile
Want this AI-powered shortlisting tool for your team? Talk to us to deploy it within days.