Inspiration
We’re on a mission to make mental health check-ins less awkward—our mood-savvy assistant listens to your vibes, cracks a joke, and keeps your therapist in the loop with all the feels!
What it does
This is a voice-powered agent designed to engage users and mental health patients in casual, mood-lifting check-ins throughout the day. The agent provides friendly interactions, helping users pass time while boosting their mood. After each conversation, a summary is automatically shared with the assigned mental health practitioner via WhatsApp. Additionally, users receive personalized, helpful links based on the topics discussed. Practitioners are equipped with a dashboard, allowing them to explore the conversation further and ask follow-up questions, ensuring more tailored and insightful care
How we built it
We developed a conversational voice agent using HumeAI, which tracks, stores, and analyzes the emotions embedded in each conversation. These emotional insights, along with the conversation data, are processed using a Gemini RAG model within LangChain for real-time analysis. At the end of each conversation, a summarized report is generated and automatically sent to the health practitioner via WhatsApp. This ensures timely delivery of emotional insights, enabling practitioners to make informed decisions based on the conversation's emotional dynamics
Challenges we ran into
Twilio integration with python was complicated
Accomplishments that we're proud of
This is a step towards de-stigmatizing mental health
What we learned
- First time using voice platforms it is really easy to use and integrate.
What's next for Chillbert
- User Profiles
- Practitioner Analytics
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