Facial Recognition Model

Challenges Faced: Understanding model architecture and preventing overfitting.

Key Learnings: Importance of data preprocessing and model evaluation metrics.

Future Improvements: Incorporating data augmentation and experimenting with different architectures.

Personal Growth: Enhanced understanding of machine learning workflows and model deployment.