A system that helps job seekers find relevant job vacancies based on their text descriptions.
Value
Time-saving in finding suitable job vacancies.
Target Audience
Job seekers without experience, students.
ML Task
Job vacancy search by semantic similarity to text query (IR task).
Attention
Due to GitHub restrictions, it is not possible to download the original dataset. I took the dataset from the link. The dataset should be located in the 'data' folder and named job_postings.csv for proper operation
- Docker
- Docker Compose
- Clone the repository:
git clone https://github.com/FaritSharafutdinov/job_search.git
cd job_search
-
Download nltk_data and unzip it. (P.S. git hub doesn't support huge files)
-
Move the nltk_data folder to /job_search
-
Download dataset and create a /job_search/backend/job_dataset folder and put the dataset in it.
-
Run docker:
docker compose up -d
- Check the docker job-search-flask logs until it appears:
Initialization completed successfully! - Open http://127.0.0.1:5001/