Key Features: ✔ Built a CNN-based facial expression recognizer (TensorFlow/Keras) trained on labeled face images. ✔ Designed an emoji suggestion engine that maps emotions (happy, sad, angry, surprised) to dynamic emoji recommendations. ✔ Implemented data preprocessing and augmentation to improve model robustness. ✔ Developed an interactive CLI menu for real-time emoji generation.
Technical Stack: ML/CV: TensorFlow, Keras, scikit-learn
Python: NumPy, Matplotlib, pandas
Tools: Jupyter Notebook
What It Demonstrates:
Ability to create fun, interactive CLI tools
Working with Unicode/emoji representations
Simple but clean Python architecture