Dual Sense AI for Mental Disorder Detection

Suchetha N V, Chaitra P Bhat, Manasa N Gond, Bhavana G Gamad and Chaitanya Chavan
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Suchetha N V: Associate Professor, Department of CSE, Sri Dharmasthala Manjunatheshwara Institute of Technology, Ujire and affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India
Chaitra P Bhat: Student, Institute Department of CSE, Sri Dharmasthala Manjunatheshwara Institute of Technology, Ujire and affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India
Manasa N Gond: Student, Institute Department of CSE, Sri Dharmasthala Manjunatheshwara Institute of Technology, Ujire and affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India
Bhavana G Gamad: Student, Institute Department of CSE, Sri Dharmasthala Manjunatheshwara Institute of Technology, Ujire and affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India
Chaitanya Chavan: Student, Institute Department of CSE, Sri Dharmasthala Manjunatheshwara Institute of Technology, Ujire and affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India

International Journal of Research and Scientific Innovation, 2025, vol. 12, issue 7, 2055-2061

Abstract: Mental health conditions often show subtle and complex signs that are hard to detect using traditional tools. Proposed system is Dual-Sense AI for identifying mental disorder. It detects the face expression and speech to text to understand them better. It monitors the real time problems related to stress, anxiety, and depression. It takes the input of the images of face and speech to text for detection. With the both face dataset and the speech to text input the Dual-sense AI helps to monitor the disorders accurately by achieving 95% accuracy. It is more complete and adaptable way to monitor the mental disorders.

Date: 2025
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