Recommender system for modelling subject combination in Ugandan senior secondary schools

Subject combinations at A-level in Ugandan Senior Secondary Schools have made or marred the future career of many prospective students, many students have ended up doing courses they had not planned to do because they made wrong choices at their A-level. This recommender system offers the decision-making process for students based on their subject performance coupled with interest, passion, skills and talents to enable them make right choices. It is person-centred and there are three (3) main actors: the student (who are interested in making appropriate career choice), the documents (which contains available information about interest and passion, skills and talents and subject performances) and access metrics (which aids the student of A-level in extracting knowledge from available resources). A hybrid matrix factorization model using ANFIS and R were used to represents students and subjects as linear combinations derived from their characteristics and interactions, this is combined with rule-based model to offer a unified approach of presenting any student with a list of subjects that will lead to prospective career choices. This offer higher predictive accuracy in career choice matchmaking and overcoming challenges of parental influence, peer influence and others while expanding opportunities of career guidance in Uganda.

Multilingual social media platform for tourist centres in Uganda

Tourism is an important source of revenue in Africa which has not been properly harness to generate expected income in Uganda hence the need to develop a social media app called TourIt. TourIt will showcase landscapes, rich history of ancient and cultural heritages, water bodies (lakes and rivers), wild safari expeditions, artefacts and facilitate user-centred design, interactive information-sharing, interoperability and collaboration on tourism with multi languages such as Luganda, English, Swahili, Yoruba, Ibo for now while other languages can be added as the app evolves. The app was developed using Android Studio XML for graphical user interface, Firebase for database, Java and XML for coding while Javascript handles several modules including functions in the database and automatic restoration of multiple languages were done with MBL (Memory Based Learning), CRF (Conditional Random Field) and rule expressions which were implemented in UML class of Python Programming Language with NLTK (Natural Language Tool Kit). This social media app will create and co-create tourism-based content, edit the content, rate whenever it is necessary. Comment will be done by the app on content whenever it is necessary, content can be discussed, content can be tagged and organized, content can be shared or personalized and content can be mashed with other contents so as to promote rich cultural values, natural endowment and attractive places in Uganda