Overview

The project focuses on building an intelligent solution that processes CVs of various formats, extracts structured data, standardizes it, and reformats it into a predefined company template. This tool ensures accuracy, efficiency, and consistency in handling candidate resumes, significantly improving recruitment workflows.

Requirments

Requirement

• Process CVs in PDF, Word, and plain text formats.
• Extract structured data such as name, contact details, and education.
• Standardize extracted information to match company templates.
• Validate and clean extracted data for accuracy.
• Populate a predefined Word template dynamically.
• Generate formatted Word documents seamlessly.
• Provide secure endpoints for data input and output.
• Ensure data encryption during transit and storage.
• Support role-based access control for security.
• Achieve GDPR compliance for candidate data handling.

Features

Features

• CV parsing from multiple formats: PDF, Word, plain text.
• Accurate extraction of personal details, education, and experience.
• Customizable data reformatting for standardized outputs.
• Integration with predefined Word templates for document generation.
• Error handling for invalid or non-standard CV inputs.
• Role-based access control for API usage.
• Data encryption using TLS and AES for security.
• Asynchronous processing for large file handling.
• Seamless integration with existing ATS systems.
• Endpoints for parsing and document generation.
• Dynamic data population into Word documents.
• Logging and tracking of processed CVs for audit purposes.
• Flexible backend with Python, Java, or Node.js support.
• Scalable hosting on AWS, Azure, or Google Cloud.
• Unit and integration tests to ensure reliability.
• Predefined, reusable company CV templates.
• Easy-to-use documentation for seamless integration.
• Secure API key-based or OAuth authentication.
• Compliance with GDPR data privacy regulations.
• Optimized NLP processing using modern tools like SpaCy or BERT.
   

Challenges

Challenges: Handling CVs with inconsistent formats, ensuring clean data extraction, and maintaining GDPR compliance while delivering a scalable, secure, and efficient solution.

Technology Stack

Technology Stack

• Python (Flask/Django)
• Node.js
• Java (Spring Boot)
• SpaCy / Hugging Face
• python-docx
• Open XML SDK
• PostgreSQL / MongoDB
• AWS / Azure / GCP
• GitHub / GitLab
• TLS / AES Encryption
   

How can we help

How can we help

Our Value Proposition
At Opencollar Technologies, we specialize in delivering business-focused, ready-to-launch solutions. Our expert team transforms ideas into robust, scalable systems tailored to modern business needs. We ensure seamless integration, accuracy, and efficiency by leveraging AI, NLP, and secure backend technologies. Partnering with us means achieving a cutting-edge solution that enhances workflows, delivers ROI, and future-proofs your recruitment processes.