Website Search - Our Solution

Table of Contents

• PROBLEM STATEMENT
• GETTING STARTED
• OUR APPROACH
• !!FEATURES SUGGESTED AFTER PITCH 3.0!!
• BLOCK DIAGRAM
• OUR UI
• ACCOMPLISHMENTS
• corgeekies

PROBLEM STATEMENT 👩‍💻

GETTING STARTED ⚙️

• Clone the repository with

git clone https://github.com/HackRx2-0/ps1_corgeeky.git

• Download elastic search as in same folder as your repo
• Run elasticsearch.bat file
• Make a virtual environment in your machine .
• Add all required files into the virtual environment using following command

pip freeze < requirements.txt

• Run following command to run the server in local host

python searchES_Flask_api.py

• You are good to Go :)

OUR APPROACH 🏹

Check out the video presentation

FEATURES SUGGESTED BY THE JURY AFTER PITCH 3.0

This video puts forth the following features:

• Implementation of search facet: Users have been provided with a few very commonly searched words in the form of checkboxes. They need not necessarily type out a search query and can just select the checkboxes to make popular searches. However, if required, the search bar and the checkboxes can be used in combination to make the queries.
• Implementation of fuzzy search: As shown in the last query ('child paln'), typos in the search yield results as well. We have implemented the feature to a great extent however there is scope for enhancement in the future.

BLOCK DIAGRAM

OUR UI

ACCOMPLISHMENTS 🥇

• User friendly UI focused around the search bar which requires minimum number of clicks to operate.
• Scraping unstructured data from the website to generate structured data.
• Applying elastic search to implement our solution for the problem statement.
• Sorting the resultant documents based on their views as per the jury's suggestion.
• Search facet has been implemented.
• Fuzzy search has been introduced as well.
• Assessing future scope and features that could be added to our product.

Corgeekies

• Shreya Verma
• Ishita Tiwari
• Krittika Chaturvedi
• Arshita Marwaha