It sucks looking for jobs

What it does

Helps you find the right job

How I built it

NLP NLTK, Cosine Similarity, TF-ICF

Challenges I ran into

Categorical hierarchy of cluster keywords

Accomplishments that I'm proud of

Dbpedia clustering helpful, complex abstraction of keywords allows us to generate useful and accurate data for job candidates.

What I learned

Reading white papers, TF-ICF weight, relevance scores, sci-kit documentation with vector Cosine Similarity

What's next for PaperJam

Make more accessible for job applicants and employers by incorporating into existing job search engines.

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