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README.md
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# Resume Screening App
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This app is built for employers looking for candidates against a particular job description. This app looks into outputing a x% percent similarity score given the resume of the candidate and a job description.
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App deployed on [Streamlit Community Cloud](https://soumee2000-applicant-tracking-system-application-tqrpm0.streamlit.app/)
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## Intuition:
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1. Get [context-aware BERT Embeddings](https://towardsdatascience.com/nlp-extract-contextualized-word-embeddings-from-bert-keras-tf-67ef29f60a7b) or [document doc2vec embeddings](https://cs.stanford.edu/~quocle/paragraph_vector.pdf) for Resume and Job Description.
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2. [Hugging Face](https://huggingface.co/sentence-transformers/bert-base-nli-mean-tokens) Library was very useful alongwith doc2vec or nltk
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3. Get their [cosine similarity](https://developers.google.com/machine-learning/clustering/similarity/measuring-similarity)
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## Workflow:
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<img src = "https://github.com/SOUMEE2000/Applicant_Tracking_System/blob/main/Demo/Workflow.png">
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## Interface
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<img src = "https://github.com/SOUMEE2000/Resume_Scanner/blob/main/Demo/Interface.png" height=400>
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<img src = "https://github.com/SOUMEE2000/Applicant_Tracking_System/blob/main/Demo/Interface_Results.png" height = 400 width = 800>
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## Usage
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```
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pip install -r requirements.txt
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```
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**Run**: ``` streamlit run application.py```
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