Projects

Depression Detection Using Deep Learning

Principal Investigator: Dr. Anita.

Duration: Jan 2024 – Dec 2025

Status: Ongoing

This project focuses on the development of a real-time system to detect early signs of depression using deep learning. It combines facial emotion recognition, speech analysis, and social media text mining. Technologies used include CNN for facial data, LSTM for voice features, and BERT for natural language analysis. The aim is to assist mental health professionals with AI-driven diagnostic tools.