Identifying the Severity of Cough Due to Air Pollution in New Delhi with Audio Analysis and Machine Learning
Challenge Completed!

This Omdena Local Chapter Challenge runs for 8 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world.
You will work on solving a local problem, initiated by New Delhi, India Chapter.
The problem
Analyzing cough severity:
Cough is a common symptom of many respiratory diseases, including COVID-19, which has become a global pandemic. Identifying the severity of a cough can aid in the diagnosis and management of respiratory illnesses. This project aims to create a website that uses machine learning models to analyze cough through audio and provide an analysis of cough severity. The website will also provide recommendations based on the severity of the cough.
According to our research, as there is no web portal available to the public for this aid as of now in India, the website can aid in the early detection of respiratory illnesses, including COVID-19, which has become a global pandemic. With the website, people can easily record and upload their cough audio, and the machine learning model can provide an analysis of the severity of the cough. This can help people identify the severity of their symptoms and seek medical attention promptly, reducing the spread of the disease.
Secondly, the website can provide recommendations based on the severity of the cough. The recommendations can range from self-care measures to seeking medical attention. This can help people manage their symptoms effectively and prevent the development of complications.
The goals
- Understanding the processing of audio data for machine learning.
- Use machine learning to predict cough severity.
- Deploy models and provide APIs that process the data and give final predictions on the website.
Why join? The uniqueness of Omdena Local Chapter Challenges
Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.
A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.
And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.
First Omdena Local Chapter Challenge?
- Beginner-friendly, but also welcomes experts
- Education-focused
- Open-source
- Duration: 4 to 8 weeks
Your Benefits
- Address a significant real-world problem with your skills
- Build your project portfolio
- Access paid projects (as an Omdena Top Talent)
- Get hired at top organizations
Requirements
- Good English
- Suitable for AI/ Data Science beginners but also more senior collaborators
- Learning mindset
This challenge is hosted with our friends at
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