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










