OS Recruitment AI Ranking
by Odoo Station https://apps.odoo.com/apps/browse?repo_maintainer_id=493315
Odoo
$ 115.83
| Availability |
Odoo Online
Odoo.sh
On Premise
|
| Odoo Apps Dependencies |
•
Recruitment (hr_recruitment)
• Calendar (calendar) • Employees (hr) • Discuss (mail) |
| Lines of code | 300 |
| Technical Name |
os_recruitment_ai_ranking |
| License | LGPL-3 |
| Website | https://apps.odoo.com/apps/browse?repo_maintainer_id=493315 |
OS Recruitment AI Ranking (Offline)
Rank applicants against a job profile using a local sentence-transformers model
This module adds AI ranking fields to Job Positions and Applicants, and computes a match score (0â100) using cosine similarity between offline embeddings. No external API calls.
Key Features
- Offline AI Matching: Uses a local sentence-transformers model directory configured on your server.
- Job-Level Profile: Store a dedicated AI Job Profile Text (or reuse Job Description) to define requirements.
- Applicant Ranking: Computes AI Match Score, AI Match Reason, and AI Ranked Date for each applicant.
- Recruiter UX: One-click âRank Applicants with AIâ button on Job Positions.
- Filters & Sorting: Quick filters (Top Matches, Score ⥠80, Score ⥠60) and default sorting by score.
- Security: HR Recruitment users can run AI ranking; configuration is restricted to Settings administrators.
How It Works
- Set the Default AI Ranking Model Path in Settings (server filesystem directory).
- Create a Job Position and provide AI Job Profile Text (or use the Job Description).
- Open the Job Position and click Rank Applicants with AI.
- Review the computed score and reason in the applicant list.
The model runs fully offline on your Odoo server. The module never calls external AI services.
Configuration
- Settings â Recruitment â AI Ranking: Set a default model path and validate that the directory exists.
- Job Position â AI Ranking tab: Optionally override the model path per Job Position.
Download model locally (example):
hf download google/gemma-4-E4B-it --local-dir C:\tkfiles\gem4Training\models\gemma-4-E4B-it
Requirements: Python packages sentence_transformers and numpy installed on the Odoo server.
Demo System
Demo URL: https://od19.tasawuq.org/odoo
User: demo
Password: demo
Price
99 EUR
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