QR GPT

• 

  Preview QR Code

• 

  Create Agent

• 

  Configurate Use Case

Inspiration

The inspiration for QR GPT came from a desire to democratize the power of AI agents. I realized that while building custom AI agents offered immense potential, the process was often complex and inaccessible for many businesses and individuals. I wanted to empower anyone, regardless of technical expertise, to easily create and publish their own sophisticated AI agents.

What it does

QR GPT is a revolutionary web app that enables users to create custom AI agents in under 5 minutes.

Key features include:

Simple Interface: Users simply select the right Use Case and fill in Information and the app generate QR code for this Agent. Other people can chat with Agent by scanning this QR code.

AI-Powered Templates: I provide pre-designed templates for each use case, in this project only "Provide Information" Use case is implemented.

Easy Deployment: Generated AI agents are instantly deployable as scannable QR codes.

How I built it

QR GPT is built upon a robust technology stack:

Backend: Cloud function for generating responses and Model configurations.

Database: Firestore Database for realtime chat experience.

AI Engine: Gemini Pro.

Frontend: Flutter for cross-platform development.

Challenges I ran into

Customize Cloud Function: Modifying the Firebase Extension to match with data structure of this project.

Optimizing AI Performance: Fine-tuning Prompting was crucial to ensure the generated AI agents are effective.

Scalability and Security: Implementing secure user authentication and scalable architecture to handle growing usage.

Accomplishments that I've proud of

Idea execution: I'm incredibly proud to see that my idea is implemented with many technologies, especial in AI technology.

Pushing AI Boundaries: QR GPT demonstrates the innovative use of QR codes to deploy AI interactions.

What I learned

The Power of Simplicity: A well-designed interface can be transformative for non-technical users, unlocking new possibilities.

Responsible AI: Because this app is easy to use, it's critical to implement safeguards against misuse and ensure the AI agents created with QR GPT are used ethically.

What's next for QR GPT

Expanding Use Case Library: Developing more industry-specific AI agent use cases to offer immediate value. Enable voice input and output for natural interaction. Hardware implementation: Continuously improving the AI's ability and integrate to Android Display hardware for complex use cases.

Built With

• cloud-function
• firebase
• flutter
• gemini