VoiceSlot

Inspiration The fitness and wellness industry often struggles with efficient appointment scheduling, especially for independent trainers and practitioners. We noticed that many clients prefer to book appointments during non-business hours or while multitasking, and traditional phone-call bookings can be cumbersome. This inspired us to create VoiceSlot, combining the convenience of voice interaction with AI-powered scheduling. What it does VoiceSlot is an intelligent voice-based appointment scheduling system that allows:

Clients to call and naturally speak their appointment requests (e.g., "I'd like a back treatment next Tuesday at 2 PM") The system uses Claude's AI to understand and parse natural language into structured appointment data ElevenLabs provides a human-like voice response for a more natural interaction Business owners can manage their availability through a dashboard Automatic SMS confirmations are sent to clients Integration with Supabase ensures real-time appointment tracking and management Automatic handling of client information and appointment history

How we built it The system consists of several integrated components:

Frontend: React-based dashboard for business owners to manage availabilities Backend: Node.js/Express server handling the voice processing pipeline Twilio: Manages phone calls and voice recordings Claude (Anthropic): Natural language processing for appointment details ElevenLabs: Text-to-speech for natural voice responses Supabase: Database for appointments, client information, and business settings Twilio SMS: For sending appointment confirmations

Challenges we ran into

Voice Processing: Getting the right balance between recording length and natural conversation flow Natural Language Understanding: Training Claude to accurately parse various ways people might state appointment requests Time Zone Handling: Ensuring appointments are correctly scheduled across different time zones Voice Response Quality: Integrating ElevenLabs seamlessly with Twilio's voice system Database Structure: Designing a flexible schema that accommodates various appointment types and business rules

Accomplishments that we're proud of

Created a fully automated scheduling system that feels natural to use Successfully integrated multiple AI services (Claude and ElevenLabs) for a better user experience Built a scalable solution that can handle multiple business types Achieved high accuracy in appointment parsing and scheduling Implemented real-time availability checking and conflict prevention

What we learned

The importance of error handling in voice-based systems How to effectively combine multiple AI services The complexities of natural language processing for specific domains Real-time database management best practices The importance of user feedback in voice interface design

What's next for VoiceSlot

Multi-language support using Claude's multilingual capabilities Advanced availability rules (recurring appointments, group sessions) Integration with popular calendar systems (Google Calendar, iCal) Custom voice training for each business Analytics dashboard for business insights Client preference learning for personalized scheduling Voice authentication for returning clients Integration with payment processing systems Mobile app for business owners Expanded notification options (email, WhatsApp)

Built With

• anthropic
• elevenlabs
• supabase
• twilio