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Building an AI Bot with Image Processing for Bike Repair

This tutorial guides you through building an AI bot that utilizes image processing to diagnose bike issues and facilitate repair bookings. Follow the steps to set up your bot, configure its interaction flow, and integrate it into your website for enhanced customer service.

This tutorial demonstrates how to create an AI bot that can accept images, process them using a vision-capable model, and use that information to troubleshoot problems and book appointments for bike repairs.

Steps

  1. Set up the AI Widget
    • Configure basic information (banner, description, initial buttons)
    • Customize the widget design to match your website
    • Enable attachment acceptance for image uploads
  2. Create and Configure the Bot
    • Name your bot (e.g., "Bike Repair Bot")
    • Write a backstory (prompt) with rules and approach for the repair process
    • Select a vision-capable model (e.g., GPT-4o, Gemini 2.0, Gemini 1.5, etc)
    • Enable image capability in the model configuration
  3. Save and Deploy
    • Save your configurations
    • Integrate the widget into your website

User Interaction Flow

  1. User initiates conversation
  2. User uploads an image of the problem
  3. AI identifies the issue from the image
  4. AI suggests a solution and initiates booking process
  5. User selects repair location and time
  6. User provides name and email to complete registration

Key Points

  • Ensure the chosen model supports vision capabilities
  • Enable attachment acceptance in the widget configuration
  • Properly set up the bot's backstory and rules
  • Test the system to ensure accurate problem identification and appropriate responses

By following these steps, you can create an AI-powered customer service bot that can handle image-based bike repair inquiries and streamline the appointment booking process.

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