In this project, we designed and developed a modern mobile application based on given user stories. This application allows individuals to browse and apply for job offers, while companies can post job offers and accept or reject candidates. The Android application was developed using Kotlin and Jetpack Compose, and the API was created using Firebase services.
The goal of this project is to explore the MEAN stack by developing an application that allows users to log in, create an account, and book rentals for specific periods. The application uses Mapbox for maps, JWT for authentication, and Zod for type validation. We developed and deployed both the client and API on the Render platform.
The goal of this project is to complete the design, development, and testing of a mobile application in one semester, using generative AI as a tool. The application includes a daily journal where the user can check which emotions they feel, a chat-based AI assistant and an history graph of the emotions. After creating a prototype on Figma, we developed a REST API in Python, as well as an Android mobile interface using Kotlin and Jetpack Compose. Testing was done with Postman.
This research project aims to integrate a generative AI model in a social robot to implement the ability to listen, speak and show emotions. It was made in collaboration with the LIRMM laboratory during one semester, leading to a report and a defence, as well as a research paper published in SGAI 2024. A demonstration was carried out in a primary school classroom.
This project aims to implement Agent Oriented Programming’s action logic by programming a complex game in Godot with three classes of agents (8 customers, 2 waiters and 2 cooks), each having a given role and the ability to interact with each other through a food ordering system.