Namyalg/FIR-Classifier

A web application to enable classification of FIRs in the vernacular language Kannada

FIR Classifier

This is the prototype developed for the classification of FIRs written in the language Kannada, it is deployed at : https://fir-classification.herokuapp.com/

Working model

• Page to enter the case of the text

• Page to upload the PDF

• Sample case statement : XYZ received a call that he had got a job offer and was asked to send his personal documents and money after which he was not given a job.The classification is aptly obtained as the type JOB SCAM

Local Setup

Steps to follow to locally setup the project

• Ensure to have Python with version >= 3.6
• Preferably create a virtual environment
• Clone the repository
• Install all the dependencies by pip install -r requirements.txt
• To install POPPLER one of the dependencies, this article can be followed for those on Windows : https://newbedev.com/how-to-install-poppler-on-windows, for those on Ubuntu or Mac OS this canbe followed : https://pdf2image.readthedocs.io/en/latest/installation.html
• Run streamlit run app.py from the root directory and open PORT 8501

Deployment

In order to deploy this application, I have compiled all the steps in a blog

https://namyalg.medium.com/deploy-a-streamlit-app-on-heroku-with-ocr-c0ec2a3dab2e