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GitHub / yuvraj123-verma / Smart-Question-Answering-System-on-Document
This project scans the pdf files and answers the question based on the text paragraph within the files. We have used two 2 different approaches, using a word embedding technique word2vec, glove and using BERT, and transformer. This project is deployed to a web app using Flask.
Stars: 4
Forks: 1
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 25.6 MB
Dependencies:
10
Created: over 2 years ago
Updated: 4 months ago
Last pushed: over 2 years ago
Last synced: 4 months ago
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Dependencies
- Cython ==0.29.24
- Flask ==1.1.1
- Pyrebase4 ==4.5.0
- Werkzeug ==2.0.1
- cdqa ==1.3.7
- numpy ==1.19.5
- pandas ==0.25.0
- torch ==1.9.0
- torchvision ==0.10.0
- transformers ==2.1.1