HR & IT Helpdesk Chatbot with Audio Transcription

This workflow automates the collection and screening of resumes in the recruitment process. It utilizes AI technology to accurately extract candidates' educational backgrounds, work experiences, and skills, and provides intelligent scoring based on recruitment needs. Ultimately, all candidate information is integrated and stored in Google Sheets, significantly improving recruitment efficiency and accuracy. Through end-to-end automation, it reduces the time and errors associated with manual screening, offering HR professionals and businesses an efficient and systematic candidate management solution.

This workflow automatically scrapes the latest job-related posts from the Hacker News forum, filters relevant information using the Algolia Search API, and retrieves detailed content through the official Hacker News API. It utilizes the OpenAI GPT-4o-mini model to clean and structure the text, ultimately storing the organized job information in an Airtable database for easier management and future use. This process achieves automated collection and structured storage of job information, enhancing data usability and retrieval efficiency.

This workflow automates the process of retrieving new emails with attachments from Gmail, extracting text from resume PDFs, using AI for intelligent analysis to score the resumes, and extracting key information about candidates. Finally, it organizes the results and inputs them into Google Sheets. By automating these processes, it significantly enhances recruitment efficiency, reduces manual operations, and optimizes data management, making it suitable for recruitment teams and HR departments, while improving the accuracy and convenience of resume screening.

This workflow primarily enables users to create, update, and retrieve profiles on the Humantic AI platform. Users can automate the extraction of information from LinkedIn, upload resumes, and generate personalized recruitment profiles through a simple manual trigger, significantly improving the efficiency and accuracy of profile management. This process is particularly suitable for recruitment teams, human resources departments, and individual career developers, addressing the challenge of updating user information in talent recruitment and management, and ensuring that profile information remains current and aligned with recruitment needs.

This workflow receives user-uploaded resume PDFs via Telegram, automatically extracts key information, and utilizes AI models for structured parsing to generate uniformly formatted PDF resumes. It supports efficient multi-dimensional data classification and display, automatically formats output, reduces manual intervention, and improves resume processing efficiency. It is suitable for human resources, recruitment platforms, job seekers, and educational institutions, enabling rapid generation and management of resumes.

This workflow automates the resume screening and evaluation process by utilizing AI models to deeply analyze candidate profiles and generate matching scores. The system can automatically send email notifications to candidates and HR, while also storing candidate information and scores in a database to ensure centralized management of information. This process significantly reduces the manual workload for HR, enhances the objectivity of evaluations, and facilitates real-time communication between candidates and HR, optimizing recruitment decisions and efficiency.

This intelligent recruitment candidate screening automation workflow utilizes ERPNext and advanced AI technology to achieve full-process management of resume parsing, job matching analysis, and hiring notifications. Through quantitative scoring and detailed assessments, this workflow significantly enhances the efficiency of resume screening and reduces the subjectivity of manual reviews. Additionally, it supports multiple file formats and automatically notifies candidates of hiring results via email and WhatsApp, optimizing the recruitment process and improving the efficiency of human resource management in the enterprise.

This workflow is designed to accelerate the recruitment process by automating the handling of resumes. It downloads resumes from a specified link, extracts the text, and uses advanced AI models to intelligently match and score candidates against job descriptions. The workflow not only provides a percentage of the match but also offers a summary of the candidate's strengths and weaknesses along with hiring recommendations, helping recruiters quickly identify suitable candidates and enhance recruitment efficiency and decision-making accuracy. It is suitable for recruitment agencies and corporate HR teams, significantly reducing the time and cost of manual screening.