Team: Hello World

Inspiration

To help job seekers to search for suitable jobs more easily and efficient, especially in the pandemic of COVID-19 where everyone is urging to secure a job as soon as possible.

How it works

1. Embed the large amount of job post into high dimensional vector space using TF-IDF
2. Embed the user's resume into the high dimensional space using same TF-IDF vectorizer
3. Get the K-NN (K Nearest Neighbor) of the resume vector point, the output will be the top k suitable jobs from the dataset

What's next for Job Matchmaker

Create a similar application that help business to recruit new talent.

Built With

• python