Projects
Artificial Intelligence Project
Subject : Transformers: a solution for more accurate, efficient, and adaptive machine translation systems.
The transformer architecture has transformed machine translation by replacing sequential processing with attention mechanisms that capture context across entire sentences. This approach improves translation accuracy and fluency while reducing training time, making transformer-based models more efficient, adaptive, and reliable than traditional methods.
ENERGY SAVER PROJECT
Subject : Conversion of vibrational energy from electric vehicle shock absorbers into electrical energy.
During my TIPE project, I designed a device that uses electromagnetic principles to recover energy from vehicle oscillations. The system captures the vibrations produced by the car’s suspension and converts them into electrical energy, contributing to overall energy efficiency. I developed a small-scale prototype to demonstrate the concept, proving that a significant percentage of this vibrational energy can be harvested. I also applied data analysis and optimization techniques to improve the structure and select suitable materials, enhancing the device’s performance and sustainability.