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Rudradeb Mitra
Data Natives, Berlin, 22nd October 2018
Two Stories
Students from all over India — who have never met each other — are collaborating to build a community driven
Machine Learning product for the clean energy sector.
1.2 Billion people live without access to electricity
Centralized System
"Imagine a future where energy is cheap,
clean and abundant for all. Where each home
or building is self-sufficient."
Machine Learning bringing a new era in the Energy sector - Rudradeb Mitra
https://medium.com/savera-ai/machine-learning-bringing-a-new-era-in-the-energy-
sector-distributed-abundant-and-a-clean-world-cf06365c29ff
How to build such a future?
What Intelligent Machines can do?
copyright@rudradeb mitra
Ground reality in majority of
the world is different....
So we want Intelligent
Machines to
Mapping of Rooftops
copyright@rudradeb mitra
copyright@rudradeb mitra
Our Goal
Challenges are
• Access to data for training the model.
• Cost of development.
Iresh Mishra, 4th Year student
https://medium.com/swlh/six-reasons-on-why-community-driven-ai-is-the-key-to-im
The picture above: Some of the results
And results for Predicting Roof Edges
https://towardsdatascience.com/using-image-segmentation-to-identify-rooftops-in-low-resolution-satellite-images-
c791975d91cc
copyright@rudradeb mitra
Second Story:
Collecting driving data in
Belgium
Identify driving patters
• Speed
• Acceleration
• Braking
• Mobile Usage
Goals &
challenges Rewards
Use Gamification and attached
missions with greater good
Building Sustainable Machine Learning Products  for Communities,  by Communities | Rudradeb Mitra | DN18
And results
https://www.efma.com/article/detail/28915
Summarizing
• When communities are involved, it helps to build trust and
get easier access to data.
• Product built with diverse opinions and is more inclusive.
• Drastically reduces the cost of development and increases
democratization of AI/ML.
Feel free to connect: https://www.linkedin.com/in/mitrar/

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