Never in human history has so much knowledge been available and accessible, and yet so little curiosity or effort been expended to obtain it. Kitso Books aims to bridge the knowledge gap between first world and third world countries by improving the “reading culture” of Africans. Kitso books makes use of augmented reality, animations and audio to create an engaging reading experience. it will allow users to interact with 3D virtual objects engaging the user to explore more while also learning. A typical example would be interacting with a virtual brain via science textbooks offered by the platform. It will allow users to listen to their favorite books during commutes and offer said books in various local languages. Kids story books will be animated and interactive allowing children to read along and immerse themselves in the many books the platform has to offer. Kitso Books is also a platform where literature on Botswana can be accessed. It will create an archive for stories and academic articles for reference by researchers and historians and just ordinary Batswana who wish to expand their knowledge about Botswana. The platform will allow creative writers to publish their works through our cultural exchange store. Writers may approach Kitso Books to animate and translate their books into local languages as well as make them into audio books. The e-book market is widely popular and it would be a brilliant opportunity for young writers to tap into it.
Crop diseases can spread very fast in open fields, threatening total crop loss. This is particularly true in emerging economies where rural farmers are located far away from agricultural advisory centers, worsened by the fact that these groups of farmers do not have the technical knowledge to identify a crop disease well in time to quickly implement measures to isolate it, before it spreads to affect other crops. Sejwalo app is a response to calls by the farming community to solve this problem by improving accessibility to crop health information, in order to help them quickly identify disease symptoms and instantly diagnosing treatment options on site. The offline/online app works by allowing the farmer 2 simple options; to either search the database by typing in signs observed from the ailing crops or taking a picture and uploading it on the app platform, wherein the built-in image recognition algorithm can identify the disease, based on a comparison assessment from previously affected crops in our database, and instantly providing the farmer with actionable information including the name of the disease, treatment options and future preventative measures.
MoreLife+ is mobile application that was developed based on the experiences of its developers. For people living with HIV, the app works like a personal electronic patient card. It allows users to stay in touch with doctors online, saving and displaying test results, a calendar of blood tests and a prescription history, and sets up reminders about when to take medication and schedule appointments. There are also functions for recording weight, chest volume, blood pressure, disease history, HIV drug resistance, etc. It has an interactive map that shows the location of medical centers and nongovernmental organizations supporting people living with HIV, daily HIV-related news and up-to-date information and popular scientific articles on HIV. A help button contains links to hotlines on HIV treatment and prevention and psychological and legal support for women, adolescents and drug users. With the patient’s permission, doctors can monitor medicine intake and track adherence. The app has special provisions to protect anonymity and confidentiality. All the data are depersonalized, so there is no risk of a person being identified as living with HIV, even if a user’s phone or computer is used by someone else.
As the current school system focuses mostly on the academic abilities of students the implementation of the Yamasa system will encourage a 50/50 approach i.e. academics: art/sport. In view of all the issues surrounding unemployment amongst the youth we propose a predictive machine learning model which aims at assessing students’ performances through extracurricular activities and through the use of artificial intelligence to suggest the discipline they fully engage in. This model seeks to ensure that the entire student’s focus is on some disciplines that they can develop their skills further. It is through this model that people such as assessors, coaches, mentors will be hired in order to fully implement the model. Companies aimed at life coaching can also generate money through the aid of the system by providing mentor-ship and life coaching to ensure that students know very well what they want, how to achieve it and how to deal with circumstances when they don’t achieve their goals. Ultimately, the model seeks to encourage the building of sport and arts academies so as to ensure that students who are academically challenged can also benefit through what they know best and encourage income through sport and art. We are currently working with the ministry of basic education regarding this model. The predictive model will use data mining to map and suggest the best course or activity the student can pursue using the greedy approach algorithms.