Creating an automated pipeline to handle letters and deliver it to the concern department in a automated fashion via digitisation of the letters and an ML model to segregate it as per the departments, thereby eliminating the manual process of handling such work and its segregation throughout the workflow.
Inspiration
Solving real time problem with the help of technology in robust way
What it does
e-Patra with the help of ML model segregates data from scanned copy and send to respective departments. Thereby eliminating the manual process of handling such work and its segregation throughout the workflow
How I built it
Using Python and Google Vision API and other ML models
Challenges I ran into
Extracting Devnagari text
Accomplishments that I'm proud of
Completed extraction and categorical model
What I learned
How to handle time framed challenges
What's next for e-Patra
Waiting for funding plans for furthur implementation
Built With
- flask
- google-cloud
- google-vision-api
- natural-language-processing
- nltk
- python
- vision-api
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