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Modular Architecture of Hirize's Text Processing System
Modular Architecture of Hirize's Text Processing System
Updated over a year ago

In Hirize's advanced text processing system, "modules" play a critical role. Think of a module as a specialized tool in a toolbox—each with a unique purpose, but all working together to build something remarkable. Below is a snapshot of the main modules in our system:

  1. Input/Output (IO) Module: The gateway for data, handling all forms of input and output, much like a versatile translator that can understand and express in multiple languages.

  2. Preprocessing Module: The editor, meticulously refining raw text by breaking it down and standardizing it to ensure the system understands it as efficiently as possible.

  3. Parsing Module: The detective of the system, employing sophisticated algorithms to decipher and organize the text into meaningful categories.

  4. OCR Module: The interpreter, capable of transforming images and scanned documents into editable and searchable text.

  5. Deep Learning Module: The brain, employing advanced neural networks to learn from vast amounts of data, improving its ability to recognize and categorize complex patterns.

  6. Matching and Scoring Module: The matchmaker, analyzing parsed data to align candidates with suitable job opportunities, scoring them on how well they fit.

  7. Knowledge Base Module: The encyclopedia, a storehouse of specialized information that aids the system in validating and enhancing its decisions.

  8. Error Handling and Logging Module: The safeguard, monitoring the system’s operation to swiftly manage any unexpected events or errors, ensuring a smooth experience.

By leveraging these interconnected modules, Hirize's system ensures a robust and intelligent processing of resumes, providing unparalleled accuracy and insight into candidate-job alignment.

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