Technologies
MathU Similarity Index - Segmentation Cult
The MathU Similarity Index App accepts a mathematical problem as user input and returns a list of similar problems, along with detailed steps on how to solve those equations. The app provides a confidence score for each problem returned by the algorithm. This confidence score is used to show how similar the returned equation is to the user input. The MathU Learning App does not attempt to solve the mathematical problem, it instead returns a list of similar problems that have already been solved (users can view the memos free of change) from our database. The app will be used to help users better understand the problems they are struggling with and how to solve them.
Basic Scripts
npm run start:client
npm run test:client
SegmentationCult-Demo1
System Requirements Specification
Project Board
Team Members:
Members | Brief Description |
---|---|
I am a Bsc Computer Science student with a love for problem solving.
I have a deep passion for all things Space Flight and AI. I love to come up with new and interesting ways to solve programming problems and often come up with new problems to solve as a result. |
|
I'm an admirer of all things art, from video games to books to martial arts.
It's a dream of mine to make use of the art of programming to sculpt something beautiful to give back to the world. As a programmer, my passion lies in machine learning and artificial intelligence. |
|
I am a third year Bsc Computer Science student,
with an interest in security and front end development. Throughout my degree I have learned a lot of interesting things, and I am confident that I can be a great team player and get the job done. |
|
I am a hard working individual with a passion for programming.
My passion for programming stems from the love I have for problem solving. Programming allows me to solve problems in unique and imaginative ways, and it is rewarding to see the results of my efforts when the program runs. |
|
My name is Tawanda Jimu a 3rd Computer Science student at the University of Pretoria.
I enjoy working with people and computers to create the future. |