Hi! I'm TheAypisamFpv, a French computer science and AI student at CESI, and will be going on an exchange semester in South Korea (1st semester of 2025-2026).
Everything you know about me, you know it only because I let you.
Currently developping an end2end AI to drive (plz send RTX5090).
A highly complex Proof of Concept (POC) for a vision-only system to detect, track, and position containers in 3D space.
Developed during an internship, it integrates advanced YOLO-based detection, single-optic visual odometry and GPS for camera tracking and positioning, and 3D visualization using the Ursina engine.
Note: This is an internal company project and is not publicly available.
A multi-modal neural network that predicts vehicle trajectory using dual-frame image inputs and GPS data.
Features a custom architecture processing image pairs and speed data to forecast the vehicle's path over a 3-second horizon, trained on 430,000+ real-world driving datapoints.
This project is a port of the Bad Apple video to the BatPU-2, a 8-bit computer designed by mattbatwings in Minecraft, programmable in ASM using a custom instruction set.
Python tool used to visualize and use a Neural Network.
I use at least one thing learned during a course to play Bad Apple!! (Video and/or Sound)
A Python application that automatically sets your desktop wallpaper to near real-time images of Earth.
Features include configurable image sources, automatic cropping, and resolution adaptation.
This is a real-time image of Earth from EUMETSAT.