Chatbots enhance user engagement by providing real-time interactions, answering queries, and improving app experiences. When integrated with Firebase, chatbots in FlutterFlow enable seamless real-time communication, making them ideal for customer support and messaging-based applications.
Prerequisites
FlutterFlow
Firebase
Gemini
Steps to Build the Chatbot
1. Create a FlutterFlow Project
Go to the FlutterFlow console and create a new project.
2. Firebase Setup
Create a Firebase project from the Firebase Console.
Enable Firebase Authentication and sign-in methods.
Connect Firebase with FlutterFlow using the Project ID.
3. Set Up Gemini for AI Responses
Gemini is an advanced AI model by Google DeepMind.
In FlutterFlow, enable Gemini API and provide an API key to receive AI-powered chat responses.
4. Designing the Chat Interface
Create a ChatPage in FlutterFlow.
Use a ListView widget to display messages.
Add a TextField for user input and a Send Button to send messages.
5. Implement Chat Logic
Store user messages in Firestore.
Use Gemini to generate AI responses and store them in Firestore.
Use a Conditional Builder to display messages based on the sender (user or chatbot).
Conclusion
A chatbot built with FlutterFlow, Firebase, and Gemini enables real-time AI interactions with minimal coding. This scalable approach leverages FlutterFlow's no-code UI and Gemini's conversational AI capabilities to enhance user engagement.
For more details, please check the link below:
https://www.flutterflowdevs.com/blog/gen-ai-chatbot-using-flutterflow-and-gemini