Mohamed Reda Ramadan

No description provided.

A comprehensive Sentiment Analysis project on Twitter data using Natural Language Processing (NLP). It includes custom text preprocessing (Stemming, Tokenization) and implements a probabilistic classification model to distinguish between positive and negative sentiments with high accuracy.

Production-ready AI Voice Assistant leveraging RAG, vector search, and LLMs for healthcare intelligence extraction.

Real-time facial emotion recognition system using CNN and TensorFlow with Streamlit deployment.