Announcement for finding a developer
Need a developer for automating the Crew Department (email + n8n + AI)
Fields: maritime, crew management, HR, email automation.
Brief about the task
It is necessary to automate the work of the Crew department, which is responsible for crew changes on 20+ vessels.
The main goal is to reduce manual work with email, spreadsheets, and the Crew Inspector database.
Currently, processes are heavily tied to e-mail, Excel, and manual decision-making.
We want to build a system where:
• emails are automatically classified (new crew, promotion, replacement, medical case, etc.);
• data from emails/attachments is automatically extracted (CV, contract, certificates);
• AI checks the candidate against the company's criteria (experience, sea service, age, contracts);
• n8n automatically forwards applications to the necessary TSI/MSI/DPA, creates tasks and statuses;
• the system automatically sends a rejection if the candidate does not meet the criteria;
• pre-boarding meeting is automatically created 7 days before boarding;
• documents are sorted into the necessary folders (SharePoint/OneDrive);
• there is an easy dashboard with a list of replacements, calendar, and statuses.
Main functionality (MVP)
1. Integration of 3 mailboxes (IMAP/SMTP, O365).
2. AI model for:
• email classification;
• data extraction from DOC/PDF;
• checking candidates against the company's criteria;
• auto-responses.
3. n8n scenarios:
• routing candidates by vessels and ranks;
• updating tables/status database;
• notifications TSI/MSI/DPA/OPS;
• automatic creation of pre-boarding meetings.
4. Automatic sorting of documents by structure 01–10 (Medical, Evaluation, Certificates).
5. Easy web dashboard (React/Vue/Node) with:
• replacement calendar;
• current crew by vessels;
• statuses of candidates/replacements;
• quick access to documents.
Requirements for the developer
• Experience with n8n (mandatory);
• Proficient in Node.js or Python;
• Integrations via IMAP/SMTP/O365, SharePoint/OneDrive;
• Ability to work with OpenAI API / LLMs;
• Experience in auto-analysis of emails and documents will be a big plus.
What to send in the response
• Briefly about experience in n8n/AI and email automation.
• Examples of work (or description of similar automations).
• Assessment of timelines and costs for MVP.
• Technology stack.