1 of 6

Our Team: Saviours��Suleman: KM Systems�Muneeb: App Development�Hammad: AI Support

“Virtual Councillor for EO Capacity Building”

2 of 6

What is the need?

  • There is huge capacity building material available in the category Earth Observations (EO) and the training/resources are increasing as new material is added over time.

  • It is very laborious for any person to scan through all the material available on the net and select a specific training course that most suits his/her needs

  • There is a need to develop a system to aid the user in the selection process making it less laborious on the part of the user

3 of 6

What is the Challenge?

  • The general users of the EO are policymakers that are more focused on the social implications and are generally disconnected from the data

  • The EO user (in general) is not aware of what data or data-tool that may be most relevant to his social need

  • The needs generally expressed by the user are not structured/ defined

4 of 6

Exploring the Solution?

  • NLP-based system may be designed to analyze the Capacity Building needs of a social scientist/policymakers

  • The input to the system could be text/voice as preferred by the user

  • The identified needs would be matched with the available resources and the most suitable training/resources would be suggested

5 of 6

Processing Diagram

6 of 6

System Improvements

  • The system would improve itself under supervised learning at the start based on the user feedback

  • The system would also provide feedback for identifying new resource requirements of the EO user community