A platform that creates custom AI receptionist instances for different businesses. Build, deploy, and monitor AI-powered customer support with appointment booking capabilities.

• Edward Lampoh - Software Developer & Collaborator
• Oluwafemi Adebayo, PhD - Academic Professor & Collaborator

This lab teaches you to create an AI receptionist service where:

• Each business gets a personalized chatbot that understands their specific services, documents, and policies
• AI handles customer inquiries using uploaded business documents and context
• Intelligent appointment booking when customers need human assistance
• Complete MLOps pipeline for monitoring AI performance, costs, and success rates
• Multiple deployment strategies from local development to serverless production

Real-World Applications: Dental offices, law firms, consultancy services, repair shops, and any service-based business that handles customer inquiries and scheduling.

Next.js Full-Stack App → Vercel AI SDK → Gemini API
        ↓
   Neon PostgreSQL
        ↓
   Email Service (Resend)
        ↓
Flask MLOps Service → MLflow

Frontend + Backend: Next.js 14 with App Router and API Routes
AI Integration: Vercel AI SDK + Google Gemini API
Database: Neon PostgreSQL (serverless)
Email: Resend API
MLOps: Flask service with MLflow tracking

📖 Follow Lab 1 Setup Guide - includes account creation, tool installation, and environment configuration.

# 1. Fork the repository on GitHub first (creates your own copy)
# 2. Clone YOUR fork (replace YOUR_USERNAME with your GitHub username)
git clone https://github.com/YOUR_USERNAME/ai-solutions-lab.git
cd ai-solutions-lab
npm install
npm run dev

Visit http://localhost:3000 to see the complete application with:

• Landing page and marketing site
• Free trial onboarding flow (no signup required)
• Business setup wizard
• AI chat interface with appointment booking
• Document upload and processing

1. Click "TRY IT FREE - NO SIGNUP" on homepage
2. Set up a mock business (dental office, law firm, etc.)
3. Upload business documents or skip
4. Get personalized chat URL
5. Test AI responses and appointment booking

• Understands business context from uploaded documents
• Answers common questions about services, hours, pricing
• Smoothly transitions to appointment booking when needed
• Sends confirmation emails
• Maintains conversation history

• Custom branding and colors
• Personalized welcome messages
• Business-specific document knowledge
• Tailored appointment types and durations

By completing this lab, you'll have:

• Production-ready AI application with real business value
• Complete MLOps pipeline from development to monitoring
• Multiple deployment strategies (containerized, serverless, cloud)
• End-to-end testing of AI systems
• Industry-relevant skills in AI deployment and operations

Ready to build your AI receptionist service? Start with Lab 1 Setup to get your development environment ready!