What does it do:

• It classifies dog based on breed using state of the art CNNs and NN head
• It accurately classifies 95% of the breeds

1. Run backend: a. From root of this repo path, do cd backend b. Create new conda environment with python=3.11 c. pip install -r requirements.txt d. python main.py
2. Run frontend: docker run -p 3000:3000 randomlogic01/dogs171front:latest
3. Go to localhost:3000 on your web browser