Collision Detection Neural Net

Neural network made to predict the best path for a robot to take to avoid collison.

The project might work with different versions of python but the one I've tested is Python 3.11.5

To run the current model locally:

1. Clone the project
2. Run pip install -r requirements.txt
3. Run python run.py

To update the model after making adjustments to how its trained:

1. Make changes to train_model.py
2. Run python train_model.py
3. Then rerun python run.py to see how the new training impacts performance

To collect different kinds of data:

1. Make changes to collect_data.py
2. Then run python collect_data.py to generate a new training_data.csv

Demo video of the current status of the project