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MomsVoice: Postpartum Depression Assistance System

Year: 2026

Type: article

Abstract: This paper presents an AI-powered postpartum depression assistance system designed to support mothers during the postnatal period through continuous emotional monitoring and intelligent care. The system uses a voice-based conversational assistant to interact naturally with users, analyze emotional conditions, and detect signs of postpartum depression through advanced AI models. It integrates a Flutter mobile application with a Django backend, enabling secure communication, automated alerts to doctors and family members, smart reminder notifications, and access to educational mental health resources. A 14-category emotion classification framework helps identify distress levels ranging from mild stress to critical suicidal thoughts. The proposed solution offers an accessible, scalable, and proactive approach to improving maternal mental health and ensuring timely intervention.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19757112

Authors: JOMOL THOMAS, SHEENA K M, DR. SULFATH P M

Language: English

Topic: Maternal Mental Health During Pregnancy and Postpartum

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7155613201

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