Code: EDI-2019-19-NF

Domain: Energy & Environment


To increase the speed and scale at which we detect illegal trash dumpsites to be cleaned up and to speed up imagery analysis to find dumpsites.

Proposed by


Nipe Fagio is a Tanzania-based civil society organization focused on increasing awareness, facilitating and promoting sustainable development initiatives in the country, particularly in the solid waste management field.
Nipe Fagio, as a recognized and well-known local organization, has engaged in World Bank activities across the years, participating in multiple community engagements. In 2018, the World Bank supported Nipe Fagio to lead the World Cleanup Day in Tanzania as part of the Let’s Do It Tanzania project. As part of LDI-TZ, we mapped over 5,000 trash spots in Dar es Salaam and conducted over 150 cleanups.


At Nipe Fagio, we monitor numerous illegal dumpsites around Dar es Salaam and Tanzania, and we work with communities to collect the waste, sort it and dispose it properly, returning the former dumpsite areas to the communities. We do an average of 10 cleanups a month and monitor the cleaned areas constantly.

Before leading a cleanup, we map the area and make a plan on the number of volunteers necessary as well as the materials needed to successfully remove the waste. During the cleanups we perform waste audits and brand audits for a minimum of 10% of the waste collected. Post cleanups we remap the area, updating the present waste status and we redo this evaluation consistently, moving forward.

Having a better automated system to analyse the waste would allow us to increase the recycling portion of the cleanups and to better monitor the dumping patterns in  Tanzania, also measuring better our success rates.



The challenge has the following sample datasets available for download

Expected outcomes

We aim to increase the speed and scale at which we detect illegal trash dumpsites to be cleaned up and to speed up imagery analysis to find dumpsites – currently a manual task. We also aim to classify trash contents in these dumpsites, estimate volume, and generate more insights about the surrounding environment so that we have more context to plan community engagements and site cleanup strategies.

It takes significant manpower and multiple visits to the waste hot spots in order to make this procedure possible. We expect to reduce time allocated to mapping and monitoring, using drone and satellite imageries to get a sense of waste composition. This will allow us to designate better solutions to the waste collected, ensuring that less waste ends up in the dumpsite and more is composted and recycled.

How do we apply?

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