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.

The Medha Platform: Transforming Community Mental Health through Multimodal AI
The Medha Platform: Transforming Community Mental Health through Multimodal AI

The Medha Platform: Transforming Community Mental Health through Multimodal AI

The Medha platform is an innovative digital ecosystem designed to bridge the severe mental health treatment gap by empowering frontline healthcare workers with advanced screening capabilities. As the first step towards AI based mental health screening solution, MeDHA platform enables data collection in the Indian context, for 5-7 Indian languages. It is built as a multilingual, and offline-first Android application alongside a secure teleconsultation portal. By analyzing participant meta-data, questionnaire responses and spontaneous speech, the platform is designed to enable the early detection, risk-stratification, and triaging of depression, anxiety, substance use disorders, and cognitive impairment in both rural and urban communities. Backed by strict data governance—featuring de-identified, anonymized and encrypted data storage and the human-in-the-loop clinical oversight, MeDHA is envisioned to streamline referral pathways to specialists and strengthens public health systems by making scalable, high-accuracy mental health screening accessible right at the community level.

The Medha platform is an innovative digital ecosystem designed to bridge the severe mental health treatment gap by empowering frontline healthcare workers with advanced screening capabilities. As the first step towards AI based mental health screening solution, MeDHA platform enables data collection in the Indian context, for 5-7 Indian languages. It is built as a multilingual, and offline-first Android application alongside a secure teleconsultation portal. By analyzing participant meta-data, questionnaire responses and spontaneous speech, the platform is designed to enable the early detection, risk-stratification, and triaging of depression, anxiety, substance use disorders, and cognitive impairment in both rural and urban communities. Backed by strict data governance—featuring de-identified, anonymized and encrypted data storage and the human-in-the-loop clinical oversight, MeDHA is envisioned to streamline referral pathways to specialists and strengthens public health systems by making scalable, high-accuracy mental health screening accessible right at the community level.

The Medha platform is an innovative digital ecosystem designed to bridge the severe mental health treatment gap by empowering frontline healthcare workers with advanced screening capabilities. As the first step towards AI based mental health screening solution, MeDHA platform enables data collection in the Indian context, for 5-7 Indian languages. It is built as a multilingual, and offline-first Android application alongside a secure teleconsultation portal. By analyzing participant meta-data, questionnaire responses and spontaneous speech, the platform is designed to enable the early detection, risk-stratification, and triaging of depression, anxiety, substance use disorders, and cognitive impairment in both rural and urban communities. Backed by strict data governance—featuring de-identified, anonymized and encrypted data storage and the human-in-the-loop clinical oversight, MeDHA is envisioned to streamline referral pathways to specialists and strengthens public health systems by making scalable, high-accuracy mental health screening accessible right at the community level.

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

Dr. Arjun MC

Dr. Arjun MC

Dr. Arjun MC

Lead Mental Health for Young Adults

Lead Mental Health for Young Adults

Lead Mental Health for Young Adults

Manas Nanivadekar

Manas Nanivadekar

Manas Nanivadekar

Technical Staff Member

Technical Staff Member

Technical Staff Member

Diksha C R

Diksha C R

Diksha C R

Technical Staff Member

Technical Staff Member

Technical Staff Member

Saumyashree Das

Saumyashree Das

Saumyashree Das

Field Coordinator

Field Coordinator

Field Coordinator

Sowmya Bharathi

Sowmya Bharathi

Sowmya Bharathi

Field Coordinator

Field Coordinator

Field Coordinator

Divya Nalam

Divya Nalam

Divya Nalam

Consultant

Consultant

Consultant

Shreyas Ramoji

Shreyas Ramoji

Shreyas Ramoji

Consultant

Consultant

Consultant

Ashwin Kemtur

Ashwin Kemtur

Ashwin Kemtur

Medical Intern

Medical Intern

Medical Intern

Arkul Prathamesh Shenoy

Arkul Prathamesh Shenoy

Arkul Prathamesh Shenoy

Intern

Intern

Intern

Shreya Ashok

Shreya Ashok

Shreya Ashok

Intern

Intern

Intern

Archana Yadav

Archana Yadav

Archana Yadav

Intern

Intern

Intern

Udit Tatia

Udit Tatia

Udit Tatia

Intern

Intern

Intern

Collaborators

Collaborators

Dr. Naren Rao,
Manoshanti, Bangalore

Dr. Akash Lanka,
Manoshanti, Bangalore

Dr. Harkunwar S. Sidhu,
Manoshanti, Bangalore

Dr. Thunga PJ,
Manoshanti, Bangalore

Dr. Pratibha Vinod,
Manoshanti, Bangalore

Dr. Naren Rao,
Manoshanti, Bangalore

Dr. Akash Lanka,
Manoshanti, Bangalore

Dr. Harkunwar S. Sidhu,
Manoshanti, Bangalore

Dr. Thunga PJ,
Manoshanti, Bangalore

Dr. Pratibha Vinod,
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

2026 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

2026 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

2026 by TANUH