🧠 Real-Time Depression Motion Detection System using CNN & XGBoost This is a Flask-based real-time Depression Detection System that uses a CNN model to detect facial expressions from camera feed and ...

By leveraging Natural Language Processing (NLP) techniques, the system will intelligently analyze user feedback and take appropriate actions accordingly. The depression detection model is deployed ...

Depression, schizophrenia and other mental health conditions affect 1 in 4 people in their lifetime, but mechanisms underlying these conditions are poorly understood. New research has linked the ...

This system features a top veto tracker system with remarkable characteristics such as high light yield, distinct ...

An infectious diseases detection platform demonstrated over a two-year trial that it stops outbreaks, saves lives and cuts costs, making the case for development of a national early outbreak detection ...

New research reveals that depression in young teens may be more treatable than in adults, thanks to more flexible and less entrenched symptom patterns.

This system features a top veto tracker system with remarkable characteristics such as high light yield, distinct signal-background differentiation and high detection ... 51.5 p.e. Using optical ...

The Enhanced Detection System for Healthcare-Associated Transmission (EDS-HAT) takes advantage of increasingly affordable genomic sequencing to analyze infectious disease samples from patients.

IIT Kharagpur has installed barcodes behind hostel doors allowing students in distress to anonymously access mental health ...

Patients suffering from depression, anxiety and trauma-related disorders experienced significant relief from their symptoms after a new treatment that uses sound waves to modulate deep brain activity, ...