The article discusses the author's experience with job application platforms that utilize AI to parse resumes. Inspired by these technologies, the author decided to develop a script using Google Gemini APIs to extract structured data from resumes. The goal was to parse specific elements like name, contact information, skills, and previous job experiences into a JSON object. The author successfully used Python's pydantic library to create a structured schema for the parsed information, making it easier to manage and utilize the resume data extracted.
In developing a script to parse resumes using Google's Gemini APIs, I focused on creating an output in JSON format that effectively captures essential applicant information.
Utilizing Google's Gemini APIs with a strong JSON schema structure allows for detailed parsing of a resume, including personal details and work history.
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