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OncoCare Assistant: My AI-Powered Clinic Appointment System (Hackathon Submission)

built OncoCare Assistant—an AI front desk that triages patient queries and books oncology appointments in minutes. It runs on a Voiceflow agent (web widget + voice), a clean Vite/React UI, and a Supabase backend for secure, real-time scheduling.

Why this matters

Oncology front desks juggle endless phone calls for FAQs, intake, and slot booking. Patients wait; staff burn out. OncoCare Assistant automates the repetitive parts—so patients get clarity fast and clinics save precious time.

What it does

• Smart intake & triage: Collects name, contact, intent (new consult, follow-up, chemo/radiation), and guides users with friendly prompts.

• Instant scheduling: Suggests doctor/slot options and returns a Confirmation ID on success.

• Answers FAQs: Timings, prep, location, reports, and more—24/7.

• Admin view: Lightweight dashboard to review appointments (Supabase).

• Roadmap: Reminders to cut no-shows, rescheduling links, WhatsApp channel, analytics.

Under the hood

• Agent: Voiceflow Web Chat (production), embedded site-wide.

• Frontend: Vite/React (Bolt.new), Tailwind.

• Backend/DB: Supabase (Postgres + RLS).

• Hosting: Bolt preview for speed; Netlify for stable public link & HTTPS.

Early impact (MVP)

• Minutes to deploy (widget + schema)

• Lower call volume for FAQs and basic scheduling

• Better patient experience with immediate confirmations

What’s next

• Automated email/SMS/WhatsApp reminders

• Role-based staff access & audit logs

• Deeper triage with urgency flags

• Analytics: conversions, peak hours, FAQ deflections

If you’re an oncology clinic (or any specialty) and want a fast, clinic-ready AI front desk, ping me—happy to share a live demo.

— Sunila, SunTech AI Hub