A bot to recommend board members

I created a bot to recommend members of the undergraduate committee from the list of dissertations and theses defended at the Graduate Program in Law at UnB.

In this first version, the data is not being served in a structured way, so he can confuse the advisor with the approved one. Even so, it offers a starting point for the composition of more diversified boards with highly motivated members.

378 works (dissertations and theses) were cataloged, defended between the second semester of 2022 and the second semester of 2024. The data source is the SIGAA public interface, properly handled for conversion of HTML entities , as well as for the standardization of encoding. Without these debugging steps, the displayed characters would be unintelligible.

On the merits, the fact is that it is very difficult to remember all the works defended and we ended up doing the boards with a very restricted group of acquaintances. The bot helps in the diversification of the boards and in the integration of graduates to the Faculty of Law.

Possible evolutions may include the generation of graduate boards in a more reliable way, as well as variations of the bot for recommending topics to be researched or possible advisors for topics already defined. In fact, as it stands today, The bot already answers most of these questions well , but it can be improved.

In the end I remind you that this is not an official initiative and that, like any artificial intelligence tool, the bot's responses may contain errors. I made this chat to solve a personal problem I had, but I decided to share it because I think it can be useful for the community in general.

You can test the bot right here. After testing, subscribe to the blog and leave your feedback in the comments (at the end of the post) so that we can all learn from your experience.