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AI/ML
Instant Customer Support for Business Websites
Summary

Imagine revolutionizing customer service with an AI-powered chat agent that intuitively understands and responds to various customer needs, 24/7. This is your chance to shape the future of customer interaction, enhancing business efficiency and client satisfaction.

Requirements
  1. Develop a text chat interface that maintains context over the conversation.
  2. Focus on three customer scenarios: prospecting, complaint handling, and ongoing support.
  3. Integrate backend tools for actions like calendar bookings, and ensure data privacy.
  4. Implement escalation protocols for human operators for complex issues.

Submission Guidelines

  1. Figma (Optional): Provide a link to your Figma design / prototype for your project.
  2. GitHub Repository: Provide the link to your GitHub repository containing all the relevant source code and project files.
  3. Deployed Link: Share the link to the deployed version of your project. For web applications, consider hosting on platforms like Netlify or Heroku. If it's a mobile app, upload the APK to Google Drive and provide a public link.
  4. Walkthrough/Presentation: Create a concise 2 to 5-minute maximum screen recording. Walk through key features, functionalities, and any unique aspects of your project. Clearly articulate how users can interact with and benefit from your solution. Ensure your presentation covers essential details without exceeding the time limit.
Access Free OpenAI API Keys!

Limited OpenAI API keys available at no cost for your hackathon project. Reach out here with your use case, and get keys for Speech-to-Text, Chat Completions, Embeddings, and more. Keys deleted post-hackathon.

Explore Models

You have the freedom to explore a wide range of models for your project. Not limited to the following options:

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Additional Resources

Take your project further with these valuable resources:

Suggested Approach

Day 1 - 2: Conceptualization & Design

Product Management & AI/ ML Specialists:
  • Define the scope and specific functionalities of the AI chat agent.
  • Identify the key customer scenarios: prospecting, complaint handling, and ongoing support.
  • Discuss the AI model’s requirements for context maintenance and data privacy.
Frontend Development & Product Design:
  • Design a user-friendly text chat interface.
  • Ensure the interface is intuitive and aligns with typical customer support scenarios.
‍Backend Development:
  • Begin setting up the server and database structure.
  • Start integrating AI models and backend tools for functionalities like calendar bookings.

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Day 3 - 4: : AI Integration & Feature Development

AI/ ML & Data Science Specialists:
  • Integrate NLP models for understanding and maintaining context in conversations.
  • Implement logic for handling the different customer scenarios.
Frontend & Backend Development:
  • Develop the chat interface and connect it with the backend AI functionalities.
  • Implement features for data privacy and secure information handling.
Product Management:

• Plan and conduct initial testing to check AI responses and interface usability.

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Day 5: Testing, Refinement, & Presentation

All Team Members:
  • Perform comprehensive testing across all customer scenarios.
  • Refine the AI’s responses and ensure data privacy measures are effective.
  • Implement escalation protocols for transferring to human operators.
  • Prepare a presentation to showcase the AI chat agent’s capabilities, focusing on customer engagement and business utility.
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