While students have been doing projects using the AI Snap! blocks for a long time we only recently began collecting them.
Work experience student October 2019
A 15-year old male student explored using custom speech recognition and image recognition as a user interface to maze puzzles.
He wrote in his report
that while he trained models for both speech and image recognition,
he ran out of time integrating the visual recognition into his project.
Download his project.
Work experience student May 2018
This male 15-year old student did these projects in the week we hosted him:
balls and boxes
- I made this to test the bouncing features and as a nice small game
balls and boxes 2
- I made this to build upon what I had made in balls and boxes one. It is more advanced with changing backgrounds and balls which faze off screen.
balls and boxes 2 with song!
- This is a copy of balls and boxes 2 with a theme song. I made this to test out the speech synthesis.
- this was made to to see if I could make a game about a random drop box
- this is the second most advanced game I made. It was to practice my basic skills and it turned out quite fun, I got a record score of 13!
Fish game with voices
- This is the most advanced game (maybe) that i created. It is a copy of Fish game but it has text and speach.
- This was made to test speech synthesis, all the blocks lie in a nest so it is more reliable.
- This has less code than the fish game but it uses higher blocks which are very advanced, this was made to test video recognition and computer learning.
Work experience student July 2018
This female 16 year old wrote a report about her
spelling game (using speech synthesis and recognition and word embeddings)
and another report about her
painting program (using speech synthesis and recognition and pose detection).
Import these programs into Snap!.
Work experience student October 2018
Another male 15 year old built
a speech-oriented equivalent of a text-based adventure game.
The program repeatedly speaks a description of a scene and then responds to spoken commands.
To run his program import it into Snap!.