Mental Health
Mental Health
Mental Health
AI Tools for Assessment and Risk Stratification of Mental Health
AI Tools for Assessment and Risk Stratification of
Mental Health
AI Tools for Assessment and Risk Stratification of Mental Health
Overview
Overview
Overview
India faces an urgent mental health crisis with a severe shortage of professionals—approximately one psychiatrist and 0.07 psychologists per 100,000 people. AI solutions, particularly large language models (LLMs), conversational AI, and multimodal analytics, can transform diagnostics, monitoring, and early intervention.
Our goal is to develop safe, explainable, and culturally aligned AI tools that empower frontline health workers, clinicians, and communities to detect and manage common mental disorders (CMDs) at scale.
India faces an urgent mental health crisis with a severe shortage of professionals—approximately one psychiatrist and 0.07 psychologists per 100,000 people. AI solutions, particularly large language models (LLMs), conversational AI, and multimodal analytics, can transform diagnostics, monitoring, and early intervention.
Our goal is to develop safe, explainable, and culturally aligned AI tools that empower frontline health workers, clinicians, and communities to detect and manage common mental disorders (CMDs) at scale.
India faces an urgent mental health crisis with a severe shortage of professionals—approximately one psychiatrist and 0.07 psychologists per 100,000 people. AI solutions, particularly large language models (LLMs), conversational AI, and multimodal analytics, can transform diagnostics, monitoring, and early intervention.
Our goal is to develop safe, explainable, and culturally aligned AI tools that empower frontline health workers, clinicians, and communities to detect and manage common mental disorders (CMDs) at scale.
Our Goal
Our Goal
Our Goal
AI Solutions for Mental Health aims to develop an AI-enabled mobile tool to help community health workers (ASHAs and ANMs) screen for depression, anxiety, substance use, and cognitive impairment. Using simple questionnaires along with voice and video inputs, the app provides automated risk assessments and referral recommendations.
The study will be tested across rural and urban sites in India to evaluate clinical accuracy and real-world usability, using psychiatrist-confirmed diagnoses as the benchmark.
Designed to be offline-first and multilingual, the tool enables early identification and timely care, helping close the mental health treatment gap in India.
AI Solutions for Mental Health aims to develop an AI-enabled mobile tool to help community health workers (ASHAs and ANMs) screen for depression, anxiety, substance use, and cognitive impairment. Using simple questionnaires along with voice and video inputs, the app provides automated risk assessments and referral recommendations.
The study will be tested across rural and urban sites in India to evaluate clinical accuracy and real-world usability, using psychiatrist-confirmed diagnoses as the benchmark.
Designed to be offline-first and multilingual, the tool enables early identification and timely care, helping close the mental health treatment gap in India.
AI Solutions for Mental Health aims to develop an AI-enabled mobile tool to help community health workers (ASHAs and ANMs) screen for depression, anxiety, substance use, and cognitive impairment. Using simple questionnaires along with voice and video inputs, the app provides automated risk assessments and referral recommendations.
The study will be tested across rural and urban sites in India to evaluate clinical accuracy and real-world usability, using psychiatrist-confirmed diagnoses as the benchmark.
Designed to be offline-first and multilingual, the tool enables early identification and timely care, helping close the mental health treatment gap in India.
Impact & Vision
Impact & Vision
Impact & Vision
Current Impact
Current Impact
Current Impact
• Enables early detection of depression and anxiety through door-to-door AI screening.
• Multilingual, culturally adaptive tools for rural and urban India.
• Privacy-by-design and clinician-in-the-loop validation frameworks.
• Potential to bridge India’s 80% mental health treatment gap.
• Enables early detection of depression and anxiety through door-to-door AI screening.
• Multilingual, culturally adaptive tools for rural and urban India.
• Privacy-by-design and clinician-in-the-loop validation frameworks.
• Potential to bridge India’s 80% mental health treatment gap.
• Enables early detection of depression and anxiety through door-to-door AI screening.
• Multilingual, culturally adaptive tools for rural and urban India.
• Privacy-by-design and clinician-in-the-loop validation frameworks.
• Potential to bridge India’s 80% mental health treatment gap.
Team & Collaborators
Team & Collaborators
Team & Collaborators
Principal Investigator
Principal Investigator
Sriram Ganapathy
Sriram Ganapathy
Sriram Ganapathy
Associate Professor
Department of Electrical Engineering, IISc
Personal website
Associate Professor
Department of Electrical Engineering, IISc
Personal website
Associate Professor
Department of Electrical Engineering, IISc
Personal website
Team
Team
Chitralekha Bhat
Chitralekha Bhat
Chitralekha Bhat
Senior Program Manager
Senior Program Manager
Senior Program Manager
Sushma Yadav
Sushma Yadav
Sushma Yadav
Senior Public Health Specialist
Senior Public Health Specialist
Senior Public Health Specialist
Shradhdha Yagneshkumar Gohil
Shradhdha Yagneshkumar Gohil
Shradhdha Yagneshkumar Gohil
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineer
Collaborators
Collaborators
Dr. Naren Rao,
Manoshanti, Bangalore
Dr. Akash Lanka,
Manoshanti, Bangalore
Dr. Harkunwar S. Sidhu,
Manoshanti, Bangalore
Dr. Thunga PJ,
Manoshanti, Bangalore
Dr. Naren Rao,
Manoshanti, Bangalore
Dr. Akash Lanka,
Manoshanti, Bangalore
Dr. Harkunwar S. Sidhu,
Manoshanti, Bangalore
Dr. Thunga PJ,
Manoshanti, Bangalore
Dr. Arti Sharma,
IIIT Hyderabad
Dr. Pragathi Balasubramani,
IIT Kanpur
Dr. Girish Rao, Professor,
Department of Epidemiology, NIMHANS
Dr. Arti Sharma,
IIIT Hyderabad
Dr. Pragathi Balasubramani,
IIT Kanpur
Dr. Girish Rao, Professor,
Department of Epidemiology, NIMHANS
Partners
Partners
Get Involved
Get Involved
Get Involved
We welcome collaborations with researchers, public health organisations, and technology partners.
We welcome collaborations with researchers, public health organisations, and technology partners.
We welcome collaborations with researchers, public health organisations, and technology partners.
Contact us at mentalhealth@tanuh.ai
Contact us at mentalhealth@tanuh.ai
Contact us at mentalhealth@tanuh.ai
The AI Centre of Excellence in Healthcare
AI Centre of Excellence in Healthcare
Indian Institute of Science
Seventh Floor, TCS Smart-X Hub
Bengaluru, India - 560 012
Email: info@tanuh.ai
Telephone: (080) 2293 4106 | (080) 2293 4107
Solutions
2025 by TANUH
The AI Centre of Excellence in Healthcare
AI Centre of Excellence in Healthcare
Indian Institute of Science
Seventh Floor, TCS Smart-X Hub
Bengaluru, India - 560 012
Email: info@tanuh.ai
Telephone: (080) 2293 4106 | (080) 2293 4107
Solutions
2025 by TANUH
The AI Centre of Excellence in Healthcare
AI Centre of Excellence in Healthcare
Indian Institute of Science
Seventh Floor, TCS Smart-X Hub
Bengaluru, India - 560 012
Email: info@tanuh.ai
Telephone: (080) 2293 4106 | (080) 2293 4107
Solutions
2025 by TANUH