README.md

---
tags:
- job-recommendation
- sklearn
license: mit
model_type: "Custom Recommendation Model"
model_description: "This is a recommendation model for job applicants based on their skills and majors."
library_name: sklearn
limitations: "This model is not ready to be used in production."
---
# Job Recommendation Model

This repository contains a job recommendation model based on skills and majors.

### Run model
Change csv file path and run **"RECOMMENDATION MODEL"** part in **Job_Recommendation_System.ipynb** notebook

### Test recommeded system
In **TEST RECOMMENDED SYSTEM** part of **Job_Recommendation_System.ipynb** notebook, change **input_hard_skills, input_soft_skills, input_major** and run code to receive result

## Add the get started code
# Get started code
```
import pickle
import pandas as pd

with open('recommendation_model.pkl', 'rb') as file:
     tfidf_vectorizer_skills, tfidf_vectorizer_majors, companies_skills_vec, companies_majors_vec = pickle.load(file)

input_hard_skills = "Python, Java, Finance, Excel"
input_soft_skills = "Communication, Teamwork"
input_major = ""
jobs_data = pd.read_csv("jobs_data.csv")

recommended_jobs = recommend_jobs_for_input_skills(input_hard_skills, input_soft_skills, input_major, jobs_data, 'recommendation_model.pkl')
print("Recommended Jobs based on input skills and major:")
print(recommended_jobs)
```