10toGO would not have been possible without the dedication, hard work and innovative ideas of the participants. We list a selection of the 19 succeded projects below. The first three teams are the winning team -- Pina and two close followers: BatteryDev and Riverbank Initiatives. The rest of the participating teams are listed in the alphabetical order.
Together, we face the challenge of reducing emissions and capturing carbon from the atmosphere to fight climate change. Forests are a great way to capture carbon. Targeted measures -- such as reduced logging and planting climate-resilient trees -- can further increase forest carbon storage. Companies can purchase this additionally captured carbon as carbon credits to offset unavoidable emissions. However, getting certified for the sale of carbon credits is expensive, lengthy, and requires expert guidance. This costly process currently prevents forest owners from generating income through carbon credits and, ultimately, protecting our forests. The team at Pina quantifies and rewards forest carbon capture by combining remote sensing technologies with AI. Their approach enables measuring forest carbon stocks more accurately and at a lower cost. By digitalizing the manual certification process, it also allows even small and medium-size forest owners to participate in the voluntary carbon credit market.
BatteryDEV, run by Battery Associates, is a global open-source competition platform for battery developers to crowdsource data and use artificial intelligence (AI) to make predictions about battery performance. Since batteries are critical to a successful energy transition and the use of renewable energy globally, BatteryDEV accelerates the energy transition through a platform on which pressing battery challenges can be addressed. The BatteryDEV competition platform also fosters collaboration around the development of open-source solutions with a wide range of applications. If you would like to get involved or learn more, be sure to visit: Battery.dev and Battery.associates.
With poverty rife in Africa, Riverbank believes knowledge is power and that solving the problem of illiteracy in the continent will end poverty and many other SDGs. The solution is an AI-based recommendation system that predicts what program of study a student moving to the next level of education (junior high school, senior high school, or college) is most likely to be successful by training an AI model with the previous level scores of already successful students in the respective tentative programs of choice. The model when supplied with a similar pattern of prospective student’s average scores, will then assign a percentage probability of the best program options for the student. The model will be more robust by training it on socially and psychologically related variables. It will also host course content and mentors, bringing together machine expertise and strong human guidance for the success of students.
Basic Income Machine
The Basic Income Machine digitizes social assistance and health care. The advantages of this approach are manifold: better tracking and optimization of assistance offers. Fast, flexible, and uncomplicated assistance for those in need. Reintegration into the labour market. At the push of a button, groups of people in precarious life situations experience assistance and income opportunities: the BIM terminal becomes a digital social worker. It is a gateway and makes the digital society accessible for everyone. Each homeless constituent will benefit from the first 30 seconds of using the BIM, will be enabled, and become a scalability contributor of their own. The project is coming with an open-source approach by actively involving local communities. To make work and social healthcare becoming a public good for everyone in our society.
We developed CAMeleon based on the challenges World Food Programme is facing with food delivery in post-disaster zones. CAMeleon is a tool that can be used when facing extensive damage to a city’s buildings, from houses to other kinds of infrastructure. Specifically, it is a software that creates maps made of satellite images, drone footings, and crowdsourced images to help Emergency Response Organizations planning their intervention after a disaster. Our main aim is to present information from a crisis scene clearly and concisely to help the Emergency Response workers choose the right method, equipment, and supplies to help the victims of catastrophe as quickly and efficiently as possible. Our innovation consists of integrating satellite, drone, and crowdsourced images and process them by using Machine learning and computer vision to present the gained information in an interactive map. The users would be able to insert the information to combine the provided information by the algorithm and information collected on the scene.
By the year 2030, the UN Sustainable Development Goals aim to reduce premature mortality from non-communicable diseases by a third. Cardiovascular diseases (which include coronary heart disease and stroke) are the most common non-communicable diseases globally, responsible for an estimated 17.8 million deaths in 2017, of which more than three quarters were in low-income and middle-income countries. To help reduce the global burden of cardiovascular disease, Caremit is aiming at democratising medical analysis and making it accessible to everyone. Caremit's vision is to empower doctors and patients with a data-driven diagnosis tool, especially in developing countries. The benefits are many and in particular, improving diagnosis, increase patient’s trust, and obviously cost-efficiencies. Caremit is united by one vision -- democratise healthcare by leveraging state-of-the-art technology and latest research in AI.
Foodmission is creted by an enthusiastic team of scientists, hackers and entrepreneurs. Our Mission is to accelerate home-grown school feeding. Home-grown school feeding means feeding schoolchildren with food from local farmers. The positive impact of such programs on health and education of children especially in developing countries are tremendous. Yet scaling such initiatives remains challenging as current food purchasing processes lack efficiency and transparency. At 10toGO Foodmission was created, an ai-based platform that analyzes food requests, contacts suitable framers and processes received bids. That way, we make Public Food Procurement easy, fast and transparent -- for schools, farmers and governments. Join Foodmission's journey to tackle the SDG Zero Hunger.
Autonomous vehicles were all the rage the last 10 years, but recently many promising startups have thrown in their towels due to overwhelming difficulties in training the artificial intelligence in the vehicles for all possible traffic scenarios. One way out of this quagmire is to combine onboard automated driving functionality with smart roads where the infrastructure assists the vehicles. Smart roads will eventually have hundreds of different type approved functions that can assist self-driving cars, ranging from simply conveying traffic-light status (red, yellow, or green), to automatic merging of self-driving vehicles entering freeways. For 10toGO, Knowit picked one narrow use case, related to UN’s sustainable development goals, that realistically could be solved in the span of one short month. SDG 3 target 3.6 aims to reduce road injuries and deaths. Knowit's solution monitors traffic intersections, uses AI to recognize driving patterns, and issues a warning if a traffic accident is imminent.
Mazi is a Kenyan Mobility as a Service (MaaS) company leveraging clean energy to re-imaging mobility by implementing electric motorbikes. Our mission is to serve e-mobility operators with reliable and affordable on-demand energy. In the long run, Mazi’s vision is to drive the transformation to smart, efficient, clean and shared transportation in the developing world. By launching Battery as a Service in Nairobi, we will provide on-demand energy to motorcycle riders, known as Boda Bodas. We are in the process of implementing an IoT and AI solution to mitigate range anxiety by connecting the batteries through a smart swapping station network. In the near future, we will be able to offer at least 99% uptime for riders wherever they are in Nairobi, allowing for a seamless transition to e-mobility. This approach will allow us to half their daily costs and double their income. Suffice to say Mazi’s innovation lies at the intersection of smart cities, climate action, and decent work- SDG 11,13, and 8 respectively.
Millenium Falcons - Predicting Pollutant Driven Diseases
P2D2 is an AI/ML data-based solution to reduce the number of people affected by diseases due to rising pollution levels in air, soil and water bodies. Our team attempted to map short term/long term diseases that occur due to rise/decline in certain components of water like dissolved oxygen, nitrate levels, etc. at various hotspots where water quality is measured. The collected data is used to forecast probable number of water-borne diseases. This will help in avoiding diseases/deaths due to consumption of hazardous water. Currently we are focusing on water pollutants and we can extrapolate to air and soil too based on the availability of data. The datasets are manually downloaded from information systems like water management, health management, geospatial administrative boundaries, population and water bodies. We have designed our solution in the form of web portal containing dashboard.
The moowe routing application calculates multi-modal urban routes that not only take sustainability and health impact into consideration, but also are highly flexible. moowe developed a solution which enables people, cities and companies to influence the routing in order to reduce emissions and health risks. Cities can influence the routing by setting constraints on highly crowded stations or regions, and thus reduce infection risk. People can combine cycling and public transportation options to configure how much they want to cycle or walk in their daily commute, and get rewarded points for their positive environmental impact. Companies can use moowe for their employees, to have a positive health impact and generate a positive climate impact to offset their own emissions as a measure of corporate social responsibility. This is made possible by moowe's mode of transportation detection algorithm and threefold motivation system based on moral, financial and health motivation strategies.
1.35 million people die every year globally in road traffic crashes making road safety an important area of intervention. Nagarro has been working towards road-safety for many years and understand that the underlying causal factors of accidents are primarily poor road infrastructure. We leveraged AI to assesses critical road-safety parameters through camera and LiDAR images from vehicles. Using this model, we will be able to identify the gaps in road infrastructure so that preventative action can be taken to avoid road-fatalities. With our solution we are contributing towards United Nation’s SDG 3 for well-being and SDG 11 that focuses on sustainable transport system for all. Nagarro is excited about the possibility of bringing passion for safe communities and tech wizardry together to make a difference