This an django project is short demo of TFIDFVectorizer from sklearn library

This project take large corpus of documents in it's media\documents\allDocuments\combo folder. Which then get processed and TF-IDF weights are calculated and stored in database which then can be used for searching with provided keywords.

We have used mysql database "XYZ.sql" import this file in mysql. it is alreday filled with the information which is extarcted from it's inbuilt corpus.
also need to install packages to make this work:-

pip install scipy
pip install sklearn
pip install numpy
pip install scikit-learn

just truncate old database and replace documents from media\documents\allDocuments\combo folder with yours and done.

it's UI is not well designed so it's extraction and search module can only be accessible using URL's if your running this django project on default configuration then
URL's are, Extraction 127.0.0.1:8000/TF
for searching module 127.0.0.1:8000/search