/SIDE---EY

Primary LanguageJupyter Notebook

H4-Simplified-Data-sourcing-FA-BASH

PS - Simplified-Data-sourcing-FA
Team - BASH
Technical Panel - Sheril Kandothankandy; Anandhageethan Venkatesan
Business Judges - Raghavendra A Deshpande; Vasudeva H Nagarajarao
Mentor - Gaurav Kumar Agarwal

Steps to run SIDE locally

Frontend (React):

  1. cd Side
  2. npm install
  3. npm start

Backend (Python Flask):

  1. cd SIDE-backend
  2. pip install -r requirements.txt
  3. python side.py

SIDEBAR: Azure API (Jupyter Notebook):

  1. Something
  2. Something

D-Tale

Usage

  • Upload (or drag + drop) a file and click on 'Apply' upload file to SIDE

File Types Accepted: PDF, XLSX, Demo File: 016-MSPTDA-Excel.xlsx

  • Click on 'View Output' to see a raw list of extracted tables (meta-data) options

  • Click on 'Get Stored Tables' to view table data extracted and stored. It will render a list of clickable tables rendered. stored tables

  • Click on any extracted table to view table data extracted. Select columns/rows as required. product table output

  • Click on 'Clear' to hide the table data view