Flutter Templates

How to Build an AI Email Responder App with Flutter and Back4App

41min

Introduction

In this tutorial, you will build an AI-powered email responder app using Flutter for the frontend and Back4App for the backend. The app will integrate with email services like Gmail or Outlook, analyze incoming emails using AI models (such as OpenAI's GPT-3), and generate personalized responses. By the end of this tutorial, you will have a functional app that can manage emails, generate automated responses, and allow users to personalize their email interactions.

This app leverages the power of Back4App's Parse Server to handle user authentication, data storage, and cloud functions, providing a scalable backend solution without the need to manage server infrastructure. Integrating AI capabilities and email services will enhance your Flutter development skills and provide a foundation for building advanced, data-driven applications.

Prerequisites

To complete this tutorial, you will need:

  • A Back4App account. Sign up for a free account at Back4App.
  • Flutter SDK installed on your local machine. Follow the official Flutter installation guide for your operating system.
  • Basic knowledge of Dart and Flutter development. If you're new to Flutter, consider reviewing the Flutter documentation before proceeding.
  • Familiarity with REST APIs and asynchronous programming in Dart.
  • An account with an AI service provider (e.g., OpenAI). Sign up for an API key to access AI models.
  • An email account (Gmail or Outlook) for integration testing.

Step 1 — Setting Up Your Back4App Backend

In this step, you will create a new Back4App application, set up your data classes, and configure the backend to work with your Flutter app.

1.1. Create a New Application on Back4App

  1. Log in to your Back4App dashboard.
  2. Click on "Create new App".
  3. Enter an App Name (e.g., "AI Email Responder") and select your App Icon.
  4. Choose your server location if prompted.
  5. Click "Create".

1.2. Retrieve Application Keys

  1. In your app's dashboard, navigate to App Settings > Security & Keys.
  2. Note down the Application ID and Client Key. You will need these for your Flutter app configuration.

1.3. Define Your Data Model Classes

We will create the following classes in Back4App:

  • User (default)
  • EmailAccount
  • EmailTemplate
  • ResponseHistory

1.3.1. Create the EmailAccount Class

  1. Go to Database > Browser.
  2. Click "Create a class".
  3. Choose "Custom" and name it EmailAccount.
  4. Click "Create class".

Add the following columns to EmailAccount:

  • user (Pointer<_User>): Points to the User object.
  • emailAddress (String)
  • accountType (String): e.g., Gmail, Outlook.
  • authToken (String): Will store encrypted tokens.

1.3.2. Create the EmailTemplate Class

  1. Repeat the steps to create a new class named EmailTemplate.

Add the following columns to EmailTemplate:

  • user (Pointer<_User>)
  • templateName (String)
  • templateContent (String)
  • templateType (String): e.g., formal, casual, follow-up.

1.3.3. Create the ResponseHistory Class

  1. Create a new class named ResponseHistory.

Add the following columns to ResponseHistory:

  • user (Pointer<_User>)
  • originalEmailSummary (String)
  • generatedResponse (String)
  • userEditedResponse (String)
  • timeSaved (Number)

1.4. Set Class-Level Permissions

Ensure that only authenticated users can access their data:

  1. In each class, go to the Security section.
  2. Set Class-Level Permissions (CLP) to allow read/write access only to authenticated users.

Step 2 — Initializing Your Flutter Project

In this step, you will set up your Flutter project and configure it to connect to Back4App.

2.1. Create a New Flutter Project

Open your terminal and run:

Bash


Navigate to the project directory:

Bash


2.2. Add Required Dependencies

Open pubspec.yaml and add the following dependencies:

YAML


Run flutter pub get to install the packages.

2.3. Initialize Parse in Your App

Create a new file lib/config/back4app_config.dart:

Dart


Replace 'YOUR_APPLICATION_ID' and 'YOUR_CLIENT_KEY' with the keys from Back4App.

In lib/main.dart, initialize Parse:

Dart


Create lib/app.dart:

Dart


Step 3 — Implementing User Authentication

You will now implement user registration and login using Parse Server.

3.1. Create Authentication Screens

Create lib/screens/login_screen.dart and lib/screens/signup_screen.dart. For brevity, we'll focus on the login functionality.

Dart


3.2. Update Home Screen Navigation

Modify lib/app.dart to direct users to the login screen if they are not authenticated.

Dart


Step 4 — Integrating Email Services

In this step, you will set up the email integration using the flutter_email_sender package.

4.1. Configure Email Sender

Add necessary permissions to your Android and iOS configurations.

For Android, update android/app/src/main/AndroidManifest.xml:

XML


For iOS, ensure that your Info.plist includes:

XML


4.2. Implement Email Sending Functionality

Create lib/services/email_service.dart:

Dart


4.3. Implement Email Fetching (Placeholder)

Email fetching from providers like Gmail requires OAuth and API integration, which can be complex. For this tutorial, we will simulate email fetching.

Create lib/models/email.dart:

Dart


Create lib/services/email_service.dart (update with dummy data):

Dart


Step 5 — Integrating AI Services for Response Generation

You will now set up the AI integration to generate email responses.

5.1. Set Up HTTP Requests to AI API

Install the http package (already added).

Create lib/services/ai_service.dart:

Dart


Note: Replace 'YOUR_OPENAI_API_KEY' with your actual API key.

5.2. Implement the Response Editor Widget

Create lib/widgets/response_editor.dart:

Dart


5.3. Displaying AI-Generated Responses

In lib/screens/email_detail_screen.dart, integrate the AI service.

Dart


Step 6 — Managing Email Templates

You will now implement email template management using Back4App.

6.1. Define the EmailTemplate Model

Create lib/models/email_template.dart:

Dart


6.2. Implement Template Service

Create lib/services/template_service.dart:

Dart


6.3. Create Template Management Screen

Create lib/screens/template_management_screen.dart:

Dart


Step 7 — Implementing Response History Tracking

You will now save the AI-generated responses and user edits to Back4App for analytics.

7.1. Define the ResponseHistory Model

Create lib/models/response_history.dart:

Dart


7.2. Save Response History After Sending Email

Update lib/screens/email_detail_screen.dart in the sendResponse method:

Dart


Step 8 — Adding Analytics with Charts

You will now implement a basic analytics dashboard using fl_chart.

8.1. Implement Analytics Service

Create lib/services/analytics_service.dart:

Dart


8.2. Create Analytics Dashboard

Create lib/screens/analytics_screen.dart:

Dart


Step 9 — Implementing Offline Support

You will now add offline capabilities to your app using Parse's local data store.

9.1. Enable Local Data Store

In lib/main.dart, enable the local datastore:

Dart


9.2. Modify Data Models for Pinning

In your models (e.g., ResponseHistory), add methods to pin and unpin objects:

Dart


9.3. Implement Offline Manager

Create lib/utils/offline_manager.dart:

Dart


9.4. Use Offline Data When No Connectivity

In your email fetching logic, check for connectivity and use cached data if offline.

Conclusion

In this tutorial, you built an AI Email Responder app using Flutter and Back4App. You:

  • Set up a Back4App backend with necessary data models and security configurations.
  • Initialized a Flutter project and connected it to Back4App.
  • Implemented user authentication with Parse Server.
  • Integrated email sending and simulated email fetching.
  • Integrated AI services to generate email responses.
  • Managed email templates and stored them in Back4App.
  • Tracked response history for analytics.
  • Added basic analytics using fl_chart.
  • Implemented offline support using Parse's local data store.

This app provides a foundation for building more advanced features, such as real email integration with OAuth, advanced AI capabilities, and improved UI/UX design.

Next Steps

  • Email Integration: Implement real email fetching using Gmail or Outlook APIs with OAuth authentication.
  • Enhanced AI Features: Fine-tune AI prompts for better responses and implement personalization based on user data.
  • UI/UX Improvements: Enhance the app's interface for better user experience.
  • Testing and Deployment: Write unit and integration tests and prepare the app for deployment to app stores.
  • Security Enhancements: Encrypt sensitive data and implement robust error handling and input validation.

For more information on using Back4App with Flutter, refer to the Back4App Flutter Guide.