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AI-generated doctor's and patient summary

🔍 Inspiration

Doctors and therapists often take quick, messy notes — hard to read, hard to share, and hard for patients to understand. We wanted to create a tool that bridges that gap: one that understands scratch-style notes and turns them into clear, useful summaries for both patients and providers. Especially in mental health, tracking progress across sessions is key — but it's rarely done well. We built Echo to change that.

💡 What it does

Echo is an AI-powered tool that takes unstructured clinical notes (like those scribbled during therapy or doctor visits) and turns them into:

Patient-friendly explanations in plain language
Structured summaries for providers (for EMRs, handoffs, referrals)
A timeline of sessions showing changes and recurring issues over time

It works with both physical and psychological health notes.

🛠️ How we built it

We used:

Groq API (Llama) for language understanding and summarization
A custom note parser for shorthand & medical phrases
Lovable for frontend, Supabase for backend

🧱 Challenges we ran into

Parsing messy, shorthand notes that lack grammar or structure
Separating physical from psychological content accurately
Making summaries both medically accurate and patient-friendly
Avoiding hallucinations or oversimplification in sensitive cases

🏆 Accomplishments that we're proud of

Built a working prototype in less than 3 hours
Generated both patient and doctor summaries from examples
Simulated timeline view of therapy session notes
Maintained tone-sensitive output (empathy in mental health, clarity in physical care)