To download the repository:
git clone https://github.com/gabrielpreviato/divertidamente
Then you need to install the basic dependencies to run the project on your system:
cd divertidamente
pip install -r requirements.txt
This project was made to the discipline MO416 - Introduction of Artificial Intelligence
This work aims to build a Fuzzy or Machine Learning system to solve a problem chosen by the group. The job is to find a suitable solution to the chosen problem. The project must contain:
- What problem is being investigated
- A description of the technique (for example, the network architecture) employed
- The results achieved associated with a discussion on the same
- Implementation specifics and restrictions
- The list of responsibilities and the level of participation of each member of the group in the final project
The system must be evaluated according to the quality of the solutions found and a critical evaluation is expected on the relationship between the choices made x quality of the solution. Graphs and tables representing the results of the solutions are expected. Additional comparisons with the literature are welcome, although they are not mandatory. If the group is using an existing implementation, this information needs to be clearly presented in the text.
The solution video can be found at: https://www.youtube.com/watch?v=PZ-978oFfVI&t=1s
The figs directory contains the images that were used in the report.
The notebooks directory contains the notebooks used for the tests.
The Results directory contains the results obtained with the tests executed.
All of the members of the group,
- Caroline Aparecida de Paula Silva (265188)
- Gabriel Previato de Andrade (172388)
- Letícia Mara Berto (212069)
contributed with the problem development and the networks implementations and tests.