🚀 Origa

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The Origa API provides a comprehensive suite of endpoints to seamlessly integrate AI-driven candidate assessment capabilities into your existing workflows or systems. Leveraging advanced natural language processing and machine learning techniques, our API empowers you to integrate Origa's cutting-edge voice AI to automate recruiter screening through high-quality, AI-driven conversations.

Architecture Overview

The Origa API is built on a robust microservices architecture, ensuring high scalability, reliability, and performance. Our RESTful API design adheres to industry best practices, providing a secure and intuitive interface for programmatic interaction.

Key architectural components:

• API Gateway: Handles request routing, authentication, and rate limiting
• Orchestration Layer: Coordinates the execution of various AI models and services
• NLP Modules: Perform natural language understanding, sentiment analysis, and entity extraction
• Machine Learning Models: Conduct candidate assessment, skill matching, and interview scheduling optimization
• Data Persistence: Utilizes distributed databases and caches for efficient storage and retrieval

API Workflow

The Origa API follows the following workflow:

The client sends the candidate's resume, job description (JD), and questionnaire to the Origa API.

• The Origa API uses Text-to-Speech (TTS), Automatic Speech Recognition (ASR), and Conversation Orchestration models to conduct the telephonic screening with the candidate.
• The candidate undergoes the screening process, and their responses are captured.
• The Origa API performs a structured candidate assessment based on the screening results.
• The structured candidate assessment is sent back to the client for further evaluation and decision-making.