4 CV Parser & Evaluation Platform PFE

Project overview:

• Build a web platform for HR to open and manage hiring sessions, collect CVs and streamline evaluation workflows.
• The system must parse incoming CVs, evaluate completeness, and re-generate each CV into a standardized company template for unified review.

Core features to implement:

• Enable HR to open/manage hiring sessions, define desired positions and set evaluation criteria and required fields.
• Allow candidates to submit CVs directly onto the platform with support for PDF and Word formats; track and store all submissions for HR recordkeeping.

CV parsing and data extraction:

• Parse CVs to extract structured information such as education, skills, work experience, contact details and certifications.
• Automatically detect missing or incomplete data fields and flag them for HR review or candidate completion.

Template generation and evaluation:

• Automatically re-generate and display parsed CVs in a unified company template for side-by-side comparison by evaluators.
• Assign ratings and compatibility scores based on the declared position requirements and configurable weighting of criteria.

Search, filtering and management:

• Provide HR with search, filter and sorting capabilities (by score, skills, experience, submission date, etc.) to manage incoming applications efficiently.
• Maintain an audit trail and basic analytics of submissions per hiring session for reporting and recordkeeping.

Technical expectations & deliverables:

• Implement a backend service for document parsing (NLP/resume parsing), a templating engine for CV regeneration, and a responsive web UI for HR use.
• Deliver source code, deployment instructions, a test dataset, and documentation describing parsing accuracy, scoring logic and how to configure hiring sessions.

How to apply:

• To apply for this specific project, send your application and CV to hr@iovision.io and use the subject line specified below.
• Include a brief cover note describing relevant experience in CV parsing, NLP, web development and any previous projects or demos.