Suicide and Depression Detection is a deep learning-based web app that analyzes text (tweets, quotes, or posts) to detect suicidal or depressive content. Built using LSTM with GloVe embeddings and deployed with Streamlit, it demonstrates how NLP can support mental health awareness through early detection.