AI-Powered Candidate Shortlisting Automation for ERPNext — n8n 워크플로

높음 복잡도🔗 Webhook23개의 노드⚒️ Engineering👁 4,137회 조회작성자: Amjid Ali

개요

Template Guide for Employee Shortlisting AI Agent Automation

Overview This template automates the process of shortlisting job applicants using ERPNext, n8n, and AI-powered decision-making tools like Google Gemini and OpenAI. It reduces manual effort, ensures fast evaluations, and provides justifiable decisions about applicants. This is ideal for businesses aiming to streamline their recruitment process while maintaining accuracy and professionalism.

YouTube Tutorial:** For a full walkthrough o

사용된 노드

HTTP RequestMicrosoft OutlookERPNextWhatsApp Business CloudCodeAI AgentGoogle Gemini Chat Model

워크플로 미리보기

Get Apprropraite Data
These Nodes are to extract only the Required Data from
N8N has the Node to convert PDF to Text, but
You can use ohter nodes here to convert word file to te
Download the File.
If you are using S3 to Upload attachments you can use S
Applicant Applied for Job in ERPNext
You need to go to Webhooks in ERPNext and Create a Webh
First do the Test Wehbook and Pin the W
Get Job Opening Data
From ERPNext
As Job is applied against a specific Job, you can now g
AI Agent to do its Job
OpenAI
See full prompt which tells this AI Agent that you are
It will shortlist the candidate and will
Update data in ERPNext
Here First node will do the formatting of the data and
Selected or Rejected
The criteia for score is that if Score is 80 or above C
Resume Available?
First Node : If Resume is not attached or Then Job Appl
Second Node : If job is not applied against opening the
Developed by Amjid Ali
Thank you for using this workflow template. It has take
Get file of Resume Detail from ERPNext Applic
Extract the Resume Download Link and Decide which Attac
Currently I provided only
Validate if the Resume is Available and It is
These Nodes are to extract only the Required Data from
Create Fields
This Java Script will convert the extracted fieldws fro
Ensure to create below fields in ERPNext :
justific
Update data in ERPNext
API Call
Candidate Rejected
Update data in ERPNext
API Call
Candidate Rejected
Notifiy Applicant either by Email or Whatsapp
model
Code
A
ApplicantData
ERPNext - Reject if Resu…
A
Applied Against Job
ERPNext - Hold Applicant
Get Job Opening
Google Gemini Chat Model
Convert to Fields
I
If score less than 80
Reject Applicant
Update Applicant Data
R
Reume Attachment Link
R
Resume Link Provided
Accept Applicant
W
Webhook
F
File Type
Download PDF Resume
P
PDF to Text
T
Txt File to Text (Example)
M
Merge1
Recruitment AI Agent
Microsoft Outlook
WhatsApp Business Cloud
23 nodes22 edges

작동 원리

  1. 1

    트리거

    워크플로는 webhook 트리거로 시작합니다.

  2. 2

    처리

    데이터가 23개의 노드를 통해 흐릅니다, connecting agent, code, erpnext.

  3. 3

    출력

    워크플로가 자동화를 완료하고 구성된 대상에 결과를 전달합니다.

노드 세부 정보 (23)

HT

HTTP Request

httpRequest

#1
MI

Microsoft Outlook

microsoftOutlook

#2
ER

ERPNext

erpNext

#3
WH

WhatsApp Business Cloud

whatsApp

#4
CO

Code

code

#5
AI

AI Agent

n8n-nodes-langchain.agent

#6
GO

Google Gemini Chat Model

n8n-nodes-langchain.lmChatGoogleGemini

#7

이 워크플로 가져오는 방법

  1. 1오른쪽의 JSON 다운로드 버튼을 클릭하여 워크플로 파일을 저장합니다.
  2. 2n8n 인스턴스를 열고 워크플로 → 새로 만들기 → 파일에서 가져오기로 이동합니다.
  3. 3다운로드된 ai-powered-candidate-shortlisting-automation-for-erpnext 파일을 선택하고 가져오기를 클릭합니다.
  4. 4각 서비스 노드에 대한 자격 증명(API 키, OAuth 등)을 설정합니다.
  5. 5워크플로 테스트를 클릭하여 모든 것이 작동하는지 확인한 후 활성화합니다.

또는 n8n → JSON에서 가져오기에 직접 붙여넣기:

{ "name": "AI-Powered Candidate Shortlisting Automation for ERPNext", "nodes": [...], ...}

통합

agentcodeerpnextextractfromfilehttprequestiflmchatgooglegeminimergemicrosoftoutlooksetswitchwebhookwhatsapp

이 워크플로 가져오기

한 번의 클릭으로 다운로드 및 가져오기

JSON 다운로드n8n.io에서 보기
노드23
복잡도high
트리거webhook
조회수4,137
카테고리Engineering

제작자

Amjid Ali

Amjid Ali

@amjid

태그

agentcodeerpnextextractfromfilehttprequestiflmchatgooglegeminimergemicrosoftoutlookset

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