Our Team
Inês Ferreira
Product Owner
Guilherme Lopes
Team Manager
Simão Antunes
Architect
Pedro Matos
DevOps
Diogo Gaitas
QA Tester
Mário Antunes
Advisor
Concept
DetiBot helps you getting relevant information with natural interactions.
This project aims to develop a DETI Bot agent that leverages both Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to monitor and index all relevant data sources pertaining to departmental activities. The bot will offer diverse interfaces for the community to seamlessly interact with this information.
Who is it for?
STUDENTS
To know about events, room locations, schedules and services.
PROFESSORS
To know of events, educational files, administrative contacts, research groups, and projects.
STAFF
For easy access to different DETI contacts.
VISITORS
To view DETI presentation, demos, projects, and events open to the public.
Key Functionalities
Information gathering from different DETI websites/documents.
Optimized information indexing.
Unified API with access to multiple front-end possibilities (web page, IM bots).
SWOT Analysis
Strenghts
It provides a natural interaction with its users.
Encompasses lots of information
Weaknesses
Has to deal with fragmented information. Depends heavily on other technologies. Has to prevent inadequate answers from agent
Opportunities
AI market in extention. Using innovative technology to boost/rejuvenate DETI. Taking advantage of the lack of centralized information.
Threats
Difficulty acessing/updating/compartmentalizing information.
Difficulty in ensuring infrastructure.
