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This project attempts at using an LSTM to predict the salary using unstructured textual representation of a description posted at lever urls.

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lever_predictor

This project attempts at using an LSTM to predict the salary using unstructured textual representation of a description posted at lever urls.

Install Requirements

pip install -r requirements.txt

Download fasttext model and place it in ./fasttext

wget https://dl.fbaipublicfiles.com/fasttext/vectors-english/wiki-news-300d-1M.vec.zip
unzip wiki-news-300d-1M.vec.zip

Ensure you download spacy en_sm model using spacy module

python -m spacy download en_core_web_sm

Run the server

python web.py

Open url

wget http://localhost:5000/salary/predict/

Wanna Retrain yourself ? Follow the instructions

python train_model/training.py

Copy your model at the base directory.

Enjoy !

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This project attempts at using an LSTM to predict the salary using unstructured textual representation of a description posted at lever urls.

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