Inspiration
Many patients with chronic conditions struggle to take medications on time and communicate their health status effectively. At the same time, healthcare providers often lack real-time insights into patient behavior and emotional wellbeing between visits. We wanted to create a solution that:
- Supports patients daily, helping them stay on track with their treatment.
- Empowers providers with actionable insights, enabling proactive interventions.
- Bridges the gap between self-care and clinical care, combining behavioral, emotional, and medical data.
What it does
CuraMate helps patients stay on track and empowers providers to make informed decisions by combining:
*Smart Medication Reminders – tracks adherence and provides adaptive prompts. *AI-Powered Conversational Agent – offers voice-based guidance and information access. *Voice Emotion Analysis – detects emotional state changes over time to highlight trends and risks.
All of this feeds into a personalized risk score for proactive care.
How we built it
*Voice Emotion Detection: trained a custom model on the RAVDESS dataset, analyzing spectrogram features to track emotional trends; deployed via a Flask server. *Data Storage: used PostgreSQL to securely store patient interactions, medication adherence logs, and emotional analysis results. *AI Chatbot Integration: integrated a pre-trained language model for bi-directional voice communication. *Medication Tracking: implemented adaptive reminders and adherence logging.
Aggregated all data into a risk scoring algorithm for provider dashboards.
Challenges we ran into
*Ensuring accurate emotion detection from noisy, real-world speech. *Integrating multiple data sources into a unified risk scoring system.
Accomplishments that we're proud of
- Developing a risk scoring framework that consolidates behavioral and emotional data.
What we learned
*Emotional cues in speech can provide actionable insights for healthcare providers. *Integration across multiple AI modules is challenging but essential for patient-centered solutions.
What's next for CuraMate
*Improve risk scoring with more real-world patient data. *Add predictive insights for early intervention and personalized treatment adjustments.
- Scale the platform for broader healthcare adoption.
- Enhance cloud-based data security and compliance, ensuring close adherence to HIPAA standards for sensitive health information.

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