Participation in 24h international innovation contest initiated by the French Space Agency (CNES) – 5th place
Seventy hours of HTML/CSS
The aim was to understand stress-test analysis and develop a fuzzy system able to output a signal to assist bank-based decisions. The fuzzy system was developed using Python, and it achieved an overall accuracy of 97%. This accuracy is obtained by comparing the actual capital adequacy ratio with the generated capital adequacy ratio of the fuzzy system.
Exploring different models that predict cryptocurrency prices and implementation of Deep Learning with Python that predicts cryptocurrency prices
Solve the Portfolio selection problem, formulated as an instance of SAT (Boolean satisfiability problem), which is the problem of determining if there exists an interpretation that satisfies a given Boolean formula.
Designing and developing an augmented reality system for piloting drones.
Adaptation and improvement of an existing multirotor aerial vehicle (drone) to be able to use it for fully autonomous aerial robotics applications.
The goal of this project is to develop an interface that displays all the desired metrics of a test script which is written in a scripting language called Robot Framework.