SEEDAo

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## Inspiration The main inspiration came from the idea of using some disjointed data into a single system which would be able to aid planning scenarios. For this purpose we centered our attention into the agriculture sector because of the availability of the information in the consulted data sets, but this approach could be easily ported to a wide variety of scenarios.

## What it does Basically the system allows to evaluate a previously elaborated strategy for the agriculture sector (based on the collected data about this sector in Trinidad & Tobago) using the Delphi Method. For this matter the system allows to a user upload the strategies he/she wants to to get evaluated by the experts. The strategies already uploaded are transparently assigned to the registered experts who make their corresponding evaluations. After two rounds of evaluations, the final evaluation obtained through the Delphi Method is shown to the user who can then make the final decision about it.

## How we built it We built the system using web2py and SQLite for the database.

## Challenges we ran into The main challenge was to pick up the data sources and make the “connections” between them to create a more comprehensive set of information actually useful for the idea we had. Also we had some troubles normalizing the data in order to successfully load it into the SQLite database we needed.

## Accomplishments that we're proud of We are proud of how we can actually make something within our 24-hours first hackaton.

## What we learned We’ve learned how productive we can be in 24 hours and also how important and significant would be if there were more and more open data sources available on-line.

## What's next for SEEDA It would be great if SEEDA had some charts and comprehensive data visualization graphs for providing a more analytic environment for both users and experts involved.