Design of a Virtual Assistance

Simple item page
dc.contributor.authorBARKAT Abderrahmen
dc.contributor.authorGASSEM Djamal
dc.contributor.authorENCA/Abdelouahab Djoubair Benhamadouche
dc.date.accessioned2024-09-09T09:01:30Z
dc.date.available2024-09-09T09:01:30Z
dc.date.issued2024-09-09
dc.description.abstractIn this dissertation, a virtual assistant powered by AI was developed using the ESP32 microcontroller, OpenAI's ChatGPT model, and Google APIs. The objective was to create an efficient and robust tool for automating office tasks. The methodology encompassed system design, firmware development, API integration, and rigorous performance testing. Results demonstrated that the virtual assistant could efficiently handle a range of tasks, thereby enhancing productivity and streamlining office operations. The integration of advanced AI models and lightweight embedded systems presents a promising avenue for future developments in smart automation technologies.
dc.identifier.otherEL/2024
dc.identifier.urihttps://dspace.univ-msila.dz/handle/123456789/44140
dc.language.isoen
dc.publisherUniversity of M'sila
dc.relation.ispartofseries2024
dc.titleDesign of a Virtual Assistance
dc.typeThesis

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
BARKAT Abderrahmen _GASSEM Djamal.pdf
Size:
1.55 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Master Thesis