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Client Context
Digital Mental Health AI-Driven Behavioral Risk Monitoring for Postpartum Mothers
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Industry:
Digital Health / Women’s Mental Health
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Geography:
India
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Engagement Type:
Digital mental health analytics & behavioral risk monitoring
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Scope:
Smartphone usage, journaling, mood check-ins & community interaction patterns
Challenges
Challenges
- Postpartum depression was frequently undetected due to limited clinical touchpoints.
- Self-reported surveys produced inconsistent signals because of stigma and underreporting.
- No scalable method existed to identify early behavioral deviations that warranted intervention.
Our Apporach
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Built a privacy-safe behavioral analytics engine using phone usage metadata, sleep patterns, and journaling behavior signals.
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Developed an AI-based emotional shift detector using sentiment and linguistic pattern analysis. .
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Integrated signals into a risk stratification model to categorize users into low / monitor / high-risk.
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Enabled clinicians to receive flagged cases with context, not raw data — preserving dignity & confidentiality.
Impact Delivered
- Enabled early detection of postpartum mental-health risk 4–6 weeks earlier than traditional questionnaires.
- Improved follow-up care engagement by 42% through personalized nudges and check-ins.
- Established a scalable, stigma-free support framework that improved maternal mental well-being outcomes.
30+ years of Industry experience in delivering pioneering data and QA solutions.
