Schlumberger-SHAASTRA

Deploy and run:

1. Go to

2. Start the server by executing python app.py

3. Go to and open

Features:

• Can give both abstract and extractive based summaries for each article and all articles combined.
• Can give keyword representive of an article which can be used to search other related articles which can also be automated for nested crawling
• Uses Cosine similarity on encoded query vectors and article vectors to get articles that have content matching the required query.

PRODUCT ARCHITECTURE:

TECH STACK ABSTRACT ARCHITECTURE:

PROTYPE DEMO: