Inspiration
Our inspiration for Pictionary Plunge, 2M Parameter CNN came from a desire to merge the joy of classic drawing and guessing games with cutting-edge AI technology.
What it does
Uses a model based on a CNN to predict user-inputted doodles.
How we built it
Using tensorflow and python.
Challenges we ran into
Choosing the right algorithm and respectively model.
Accomplishments that we're proud of
We're proud of successfully developing an AI-powered sketch recognition system that can predict newly drawn sketches originating from numerical arrays.
What we learned
During the development of Pictionary Plunge, we gained valuable insights into the capabilities and limitations of AI in image recognition. We learned about the importance of optimizing deep learning models for real-time applications.
Built With
- cnn
- machine-learning
- python
- tensorflow
- visual-studio-code
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