AI Recruitment Screening
A recruitment workspace for CV processing, screening, and candidate matching.
Project illustrationProject overview
A recruitment workspace for CV processing, screening, and candidate matching. The documented capabilities below are drawn from the company’s existing materials or this repository.
Recorded in the existing committed portfolio. No hiring accuracy, fairness, or hiring-outcome claims are made.
- Services / scope
- AI & Automation
- Contributors
- Project-specific contributors not documented
The business problem
Recruitment teams need a consistent way to review uploaded CVs, relate them to job requirements, and inspect ranking suggestions before making human hiring decisions.
Goals, requirements & constraints
- A recruitment workspace for CV processing, screening, and candidate matching.
- Keep professional services workflows understandable to the people who use them.
- Agree on access permissions, record ownership, reporting needs, and expected workload before extending the system.
Working constraints
- No client identity, budget, timeline, or measured results are supplied.
- Sensitive data, backup needs, and access rules must be reviewed against the actual deployment.
- Availability, integrations, and scaling requirements depend on the agreed business scope.
Discovery & available context
No user interviews or formal research are claimed. This page uses the company’s supplied project reference and available documentation. A detailed workflow review, user-role map, and requirements validation should accompany future implementation or extension.
Solution & documented scope
The documented solution brings screening pipeline, dual ai provider routing, hybrid ranking engine, bulk cv upload and processing, token-based authentication into a ai & automation experience.
Features & functional scope
- Screening pipeline
- Dual AI provider routing
- Hybrid ranking engine
- Bulk CV upload and processing
- Token-based authentication
User experience & interface
The interface is organized around distinct responsibilities and related records. Real interface images can be reviewed in the gallery when project screenshots are available.
System architecture
Layers below show only the technology information currently documented for this project.
Technical implementation
Frontend
Next.js
Backend & data
Python, Django, PostgreSQL
Access & integrations
Authentication providers, authorization rules, APIs, and file storage require project-specific documentation.
Deployment & testing
Deployment configuration, security reviews, and test coverage are not supplied.
Challenges & solutions
A project-specific challenge log has not been provided. Technical incidents, tradeoffs, and their resolutions can be added here when verified.
Results & outcome
The documented project provides the capabilities listed above. No business impact metrics are supplied.
Inside the interface
Captured interfaces are labeled with the screen and review context. Select an available screenshot to view it in detail.
Interface preview
Real interface screenshots are not currently available for public review. The cover artwork illustrates this project’s domain.
Technology stack
Frontend & interface
Next.jsBackend
Python
DjangoDatabase
PostgreSQLAI
Groq
GeminiProject links
Public project and repository links have not been added.
Project status
A company-supplied portfolio project. Delivery milestones and operational results are not documented.
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