Full-Stack Developer (AI-Powered Dental SaaS Platform)

Замовник: AI | Опубліковано: 02.11.2025
Бюджет: 20000 $

Summary The Genie Project is an AI-powered SaaS platform designed to modernize and automate how dental offices manage their front-office operations. It focuses on solving the biggest pain points identified through the Dental Practice Survey — including missed calls, manual scheduling, patient intake errors, and poor lead tracking. The platform will serve as an all-in-one command center where dental practices can manage calls, bookings, patients, and marketing in real time — powered by conversational AI, smart automation, and EHR synchronization. Genie integrates with Open Dental, NexHealth, Twilio, Google Ads, and Meta Ads, delivering actionable insights and automations that reduce administrative workload and increase patient retention. Deliverables Design and develop AI Virtual Dental Assistant MVP (for internal staff use) Integrate with NexHealth Synchronizer API (core MVP integration) Build admin dashboard for CRM, scheduling, analytics, and AI insights Implement Twilio-based call tracking, transcription, and missed-call automation Develop patient communication automation via SMS, email, and phone Enable digital intake and rebooking automation Integrate Google Ads and Meta Ads for lead attribution Ensure HIPAA compliance, data encryption, and PHI handling best practices Deploy on HIPAA-eligible cloud infrastructure (AWS, GCP, or Azure) Deliver full technical documentation, QA, and production-ready version You will be asked to answer the following questions when submitting a proposal: 1. Have you previously integrated with any healthcare or EHR APIs (such as NexHealth, Epic, Dentrix, or Open Dental)? Please describe one project and your role in it. 2. What tools or frameworks would you use to build the conversational AI (e.g., Dialogflow CX, Rasa, Azure Bot Service), and why? 3. How do you ensure HIPAA compliance and data security when handling PHI in cloud-based applications? 4. Can you walk us through your typical development process — from planning to delivery — for a 6–8 month MVP project? 5. Please share one past project where your team built an AI chatbot, scheduling assistant, or healthcare integration. Include technologies used and any measurable results.