Monitoring and Predicting Air Quality Using Machine Learning
This Omdena Local Chapter Challenge runs for 5 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 the Mumbai, India Chapter.
The problem
Air is what keeps humans alive. Since industrialization, there has been an increasing concern about environmental pollution. As mentioned in the WHO report 7 million premature deaths annually are linked to air pollution, air pollution is the world’s largest single environmental risk. Moreover, as reported in the NY Times article, India’s Air Pollution Rivals China’s as World’s Deadliest, it has been found that India’s air pollution is deadlier than even China’s.
Monitoring it and understanding its quality is of immense importance to our well-being. Using this dataset one can explore India’s air pollution levels at a more granular scale.
The goals
The goals of this project can be broken down into the following:
- Adopt or revise and implement national air quality standards according to the latest WHO Air Quality Guidelines.
- Monitor air quality and identify sources of air pollution.
- Support the transition to exclusive use of clean household energy for cooking, heating, and lighting.
- Build safe and affordable public transport systems and pedestrian- and cycle-friendly networks
- Implement stricter vehicle emissions and efficiency standards, and enforce mandatory inspection and maintenance for vehicles.
- Invest in energy-efficient housing and power generation
- Improve industry and municipal waste management
- Reduce agricultural waste incineration, forest fires, and certain agro-forestry activities (e.g. charcoal production)
- Include air pollution in curricula for health professionals and provide tools for the health sector to engage.
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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