ConvoServe

ConvoServe: AI-Powered Phone Chatbot for Seamless Business Data Retrieval.

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ConvoServe: AI-Powered Phone Chatbot for Effortless Business Data Retrieval

What Inspired Us

We noticed that businesses often struggle to quickly retrieve and update their databases using traditional interfaces. Inspired by AI-powered assistants, we built ConvoServe: a chatbot that allows users to seamlessly query and update a company's MongoDB database via a simple phone call, ensuring controlled yet accessible business data management.

What We Learned

  • How to integrate OpenAI API into a real-world business application.
  • The importance of database security when allowing AI-generated modifications.
  • Effective state management in React for handling form inputs and API responses.
  • Best practices for API authentication and role-based access control.

How We Built The Project

  1. Backend:

    • Developed using Node.js and Express.js for RESTful API endpoints.
    • Used MongoDB to store and manage company and agent data.
    • Implemented JWT authentication for secure access control.

  2. AI Chatbot:

    • Integrated OpenAI's Realtime API to generate audio responses dynamically.
    • Integrated VoIP provider (Twilio) for real-time phone-based interactions.
    • Designed prompts to enable the chatbot to interpret and act on user queries.
    • Ensured structured responses that align with business database operations.

  3. Frontend:

    • Built with React + TypeScript for a modern and responsive UI.
    • Utilized HeroUI components for a clean, user-friendly experience.
    • Implemented React Router for seamless navigation.

Challenges We Faced

  • Audio streaming redirection to web socket: Ensuring VoIP audio is transmitted back and forth to the OpenAI-realtime API.
  • Token-based authentication: Managing JWT tokens for secure login and session persistence.
  • Database updates via AI: Ensuring structured and accurate updates to MongoDB using OpenAI-generated responses.
  • CORS issues: Debugging frontend-backend communication problems when making API requests.
  • User interactions: Handling both free-form AI responses and structured database queries in a single interface.

Future Improvements

  • Enhance AI capabilities to understand more complex queries, including write and delete operations.
  • Implement robust input validation, role-based permissions, and AI response filtering to prevent malicious users from executing application-breaking queries through the phone.
  • Optimize MongoDB queries for faster and more efficient data retrieval.
  • Improve UI/UX with real-time chatbot feedback and analytics.

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