Assisting 91.4 million people in around 83 countries each year, the World Food Programme (WFP) is the leading humanitarian organization saving lives and changing lives, delivering food assistance in emergencies and working with communities to improve nutrition and build resilience.
As the international community has committed to end hunger, achieve food security and improved nutrition by 2030, one in nine people worldwide still do not have enough to eat. Food and food-related assistance lie at the heart of the struggle to break the cycle of hunger and poverty.
You are an aspiring junior data scientist, machine learning engineer, computer science student who has some knowledge in ML/Computer vision and/or practical experience through real-world projects or course-related projects. And you are eager to learn new things, want to get a taste of real data science projects and work with smart and fun people, then join our community by applying below. With this project, you will have a chance to build a model for crop classification in Nepal using images.
– Good English and access to a computer with internet
– Background education (preferably student at a University or a junior developer) showing good/very good grasp in computer science and/or mathematics or a developer who is changing the field of work
– Understanding of ML, Deep learning algorithms
– Some experience with image processing
– Passed or started an online course in machine learning/deep learning
This is a part-time engagement that will take around 10-15 hours a week.
– Engaging in image analysis and data preprocessing
– Working on deep learning algorithms
– Collaborating with other participants
– Working with world-class AI mentors as well as domain experts
– Working within a community of people who care about the problem and eager to solve it
– Constantly learning and sharing your knowledge within the community of AI enthusiasts
– Certificates of participation and references
– Being featured at our website and articles about the project