Dashboard
Real-time overview of your CV matching activity
Recent Activity
🚀 Use CV Matching Service
Upload CVs and match them against job requirements in real-time
📋 Step 1: Select Job Requirement
📤 Step 2: Upload CVs
⚙️ Step 3: Matching Options
📊 Step 4: Matching Results
CV Matching Service Overview
Enterprise-grade API service for intelligent candidate-job matching
Service Description
Our AI-powered CV matching system combines hybrid AI techniques with LLM enhancement to automatically rank and match candidates against job requirements. The service is designed as a reusable API that integrates seamlessly into ERP systems and external HR platforms.
Hybrid AI + LLM: Traditional NLP + Large Language Model for contextual understanding
🔑 API Integration
API Features
Enterprise-grade CV processing endpoints ready for integration
📤 Upload CV
Upload individual or batch CV files for processing. Supports PDF, DOCX, TXT formats.
POST📝 Create Job Requirement
Define job requirements with skills, experience, and matching weights.
POST🎯 Match CVs to Job
Run AI-powered matching to evaluate candidates against job requirements.
POST🏆 Get Ranked Candidates
Retrieve sorted list of candidates with match scores and explanations.
GET🔍 Parse CV Fields
Extract structured data from CVs: skills, experience, education, certifications.
POST📦 Batch Processing
Process multiple CVs asynchronously with webhook notifications.
POSTJob Requirement Builder
Define what the system should look for when evaluating candidates
Basic Information
⚖️ Matching Weight Importance
Adjust sliders to define how candidates are evaluated
CV Ingestion Configuration
Choose how CVs are provided to the matching system
Select Ingestion Mode
📄 Real-time File Selection
Upload individual or batch CV files through the API or web interface.
📁 Folder Monitoring
Automatically process CVs from a designated folder or cloud storage.
🔗 Direct ERP Integration
Connect directly to your ERP database for seamless data sync.
CV Parsing & Field Selection
Control which data fields are extracted from CVs
Extraction Fields
Matching Result Preview
Live demonstration of how candidates are evaluated
Candidate Ranking & Comparison
View and manage ranked candidates
| Rank | Candidate Name | Match Score | Category | Experience | Actions |
|---|---|---|---|---|---|
| #1 | Sarah Mitchell | 87% | High | 6 years | |
| #2 | Michael Thompson | 82% | High | 7 years | |
| #3 | Priya Sharma | 79% | High | 5 years | |
| #4 | David Kim | 75% | High | 8 years | |
| #5 | James Rodriguez | 68% | Medium | 4 years |
Explainability & Scoring Breakdown
Understanding why Sarah Mitchell received an 87% match score
Skills Match
Matches 9/10 required skills.
Experience Alignment
6 years in ideal 3-8 year range.
Keyword Overlap
18 of 22 key phrases found.
Education Fit
B.Sc. Computer Science meets requirement.
🤖 LLM-Based Contextual Insights
Assessment: The candidate demonstrates excellent technical proficiency with strong full-stack experience. Progressive career growth and team leadership mentioned. Minor gap in Kubernetes, but Docker expertise suggests quick learning ability.
Recommendation: Highly recommended for interview.
API Documentation
Complete integration guide for developers
🔐 Authentication
Authorization: Bearer YOUR_API_TOKEN Example: Authorization: Bearer sk_live_a7f2b9e4c3d1a8f6b2e9c4d7a3f8b1e5
🌐 Base URL
https://api.cvmatching.enterprise.com/v1
📡 Endpoints
POST /api/v1/cv/upload
Headers: Authorization: Bearer TOKEN, Content-Type: multipart/form-data
Body: { file: [binary], job_id: "job_12345" }
Response: { success: true, candidate_id: "cand_98765" }POST /api/v1/jobs/create
Body: {
job_title: "Senior Developer",
required_skills: ["Python", "React"],
experience: { min: 3, max: 8 },
matching_weights: { skills: 0.4, experience: 0.3 }
}
Response: { success: true, job_id: "job_12345" }GET /api/v1/jobs/{job_id}/candidates/ranked?min_score=60&limit=10
Response: {
candidates: [
{ rank: 1, name: "Sarah Mitchell", match_score: 87, category: "high" }
]
}⚠️ Error Codes
200 - Success 400 - Bad Request 401 - Unauthorized 404 - Not Found 429 - Rate Limited 500 - Server Error