AI TALENT MATCHING ENGINE
predictive
AI Predictive Talent & Job Matching Engine
A vector embedding-based recruitment engine that matches candidate resumes with job requisitions based on deep semantic skill graph alignment and predictive career trajectory modeling.
# Vector Embedding# Semantic Search# Scikit-Learn# FastAPI# Pinecone
Contract formatContract development
Development system4 people
Development period3.5 months
Key Features
Core System Capabilities
Optimized modular design for both End-Users and Enterprise Management Admin
01
Recruiter side
- Job requirement semantic parser
- AI candidate suitability ranking
- Skill gap analysis breakdown
- Automated candidate outreach triggers
- Candidate pipeline tracking
5 features
02
Candidate side
- Resume parser & skill vector extraction
- AI career path & job recommendation
- One-click application
- Application status updates
4 features
03
Management side
- Skill taxonomy & graph management
- Matching algorithm weight tuning
- Recruitment KPI analytics
- ATS integration webhooks
4 features
Development Scope
Project Life Cycle & Phases
Phase 01
Requirement definition
Phase 02
UI/UX design
Phase 03
ML Algorithm design
Phase 04
Development
Phase 05
Unit / Integration testing
Phase 06
Operation and Maintenance
Tech Stack Architecture
Technologies Used in Project
Languages & Core Frameworks
Python, React 18, FastAPI
AI Tools & GenAI Models
Gemini 1.5 Pro, Sentence-Transformers, OpenAI Codex, Cursor AI, Antigravity Talent AI
Databases & Vector Storage
Pinecone Vector DB, PostgreSQL
Infrastructure & Cloud Services
AWS ECS Fargate, Docker, Nginx
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