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https://github.com/anuprshetty/chandassu

Prosody analysis and identification of metrics for Kannada verses using rule-based approach.
https://github.com/anuprshetty/chandassu

bootstrap computer-science docker engineering final-year-project flask github-actions javascript jinja2-templates journal-publication kannada-language major-project nginx prosody python research-paper rule-based-nlp unittest web-application wsgi

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Prosody analysis and identification of metrics for Kannada verses using rule-based approach.

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# Chandassu (ಛಂದಸ್ಸು)

[![App workflow](https://github.com/anuprshetty/chandassu/actions/workflows/app_workflow.yml/badge.svg?branch=main)](https://github.com/anuprshetty/chandassu/actions/workflows/app_workflow.yml)

ನಿಯಮಾಧಾರಿತ ವಿಧಾನವನ್ನು ಬಳಸಿಕೊಂಡು ಕನ್ನಡ ಪದ್ಯಗಳಿಗೆ ಪ್ರಸ್ತಾರ ಗುರುತಿಸುವಿಕೆ ಹಾಗೂ ಛಂದಸ್ಸಿನ ವಿಶ್ಲೇಷಣೆ.

Prosody analysis and identification of metrics for Kannada verses using rule-based approach.

[🏆 The website is now listed on Wikipedia 🏆](https://kn.wikipedia.org/wiki/%E0%B2%95%E0%B2%A8%E0%B3%8D%E0%B2%A8%E0%B2%A1_%E0%B2%9B%E0%B2%82%E0%B2%A6%E0%B2%B8%E0%B3%8D%E0%B2%B8%E0%B3%81?oldformat=true#:~:text=%E0%B2%AA%E0%B3%8D%E0%B2%B0%E0%B2%B8%E0%B3%8D%E0%B2%A4%E0%B2%BE%E0%B2%B0%20%E0%B2%B9%E0%B2%BE%E0%B2%95%E0%B2%BF%20%E0%B2%97%E0%B2%A3%20%E0%B2%B5%E0%B2%BF%E0%B2%82%E0%B2%97%E0%B2%A1%E0%B2%BF%E0%B2%B8%E0%B2%BF%20%E0%B2%9B%E0%B2%82%E0%B2%A6%E0%B2%B8%E0%B3%8D%E0%B2%B8%E0%B2%A8%E0%B3%8D%E0%B2%A8%E0%B3%81%20%E0%B2%97%E0%B3%81%E0%B2%B0%E0%B3%81%E0%B2%A4%E0%B2%BF%E0%B2%B8%E0%B2%B2%E0%B3%81%20%E0%B2%85%E0%B2%A8%E0%B3%81%E0%B2%B5%E0%B3%81%20%E0%B2%AE%E0%B2%BE%E0%B2%A1%E0%B3%81%E0%B2%B5%20%E0%B2%A4%E0%B2%BE%E0%B2%A3%20%E0%B2%A8%E0%B2%BF%E0%B2%B0%E0%B3%8D%E0%B2%B5%E0%B2%BE%E0%B2%B9%E0%B2%95%3A%20Anup%20Shetty)

![chandassu_app](media/chandassu_app.png)

## Information

- [Launch website](https://chandassu.onrender.com/)
- [View publication](https://www.ingentaconnect.com/contentone/asp/jctn/2020/00000017/f0020009/art00033)
- [Project award](media/project_award.jpeg)
- [Research paper](./static/docs/research_paper.pdf)
- [Project report](./static/docs/project_report.pdf)

## Tools and Technologies Used

- Python · Flask · Docker · Nginx · JavaScript · Bootstrap · WSGI · CI/CD · NLP

## Contributions are welcomed

- [How to run](./.vscode/tasks.json)
- Happy coding!

## Debug tools

- Flush socket pools --> chrome://net-internals/#sockets
- [Render platform docker deployment dashboard](https://dashboard.render.com/)