CBL - Campus del Baix Llobregat

Projecte llegit

Títol: An AI application generator engine as U-Space solution

Estudiants que han llegit aquest projecte:

Director/a: LÓPEZ RUBIO, JUAN

Departament: DAC

Títol: An AI application generator engine as U-Space solution

Data inici oferta: 05-02-2024     Data finalització oferta: 05-10-2024


Estudis d'assignació del projecte:
    DG ENG AERO/TELEMÀT
Tipus: Individual
 
Lloc de realització: EETAC
 
Paraules clau:
Ai, deep learning, u-space
 
Descripció del contingut i pla d'activitats:
El objectiu del projecte es desenvolupar una eina de deep learning capaç de donada una especificació d'un sistema complex, pugui generar les interficies i el codi necessari per tindre un prototipus.

Els serveis que s'estan desenvolupant per U-Space semblen un candidat perfecte per un sistema generatiu d'aquest estil.
 
Overview (resum en anglès):
The objective of this bachelor's thesis is to analyze the current U-Space services' technological requirements, to design a software that, as an AI-driven flexible application generator, can provide implementations to those services. The software will fulfill the data model relationships of U-Space services, as well as the specific need of representing several geographical information.
This work proposes an architectural design of a system capable of creating client-server applications in a generalized manner through conversations with Large Language Models (LLM). These interactions gather application requirements within an OpenAPI specifications files and trigger a code generator to build both backend and frontend components, implemented in Python and Flutter.
Finally, as a demonstrator of the capabilities of the system, the project includes use cases that implement services from the U-Space levels U1 - "Foundation Services" and U2- "Initial Integrated Services levels".

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