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.