
Explore how to build machine learning and NLP based mobile apps in flutter from scratch. Create real-time translations, identify languages, and translate documents using text recognition models.
Explore natural language processing (NLP) and its tasks, including translation, speech recognition, entity extraction, text classification, sentiment analysis, and smart replies, for building AI-powered mobile apps.
Learn how Flutter, an open source framework from Google, enables cross-platform app development with a single codebase and components for Android, iOS, web, macOS, and Windows for AI powered apps.
Set up the Flutter development environment on Windows by downloading the Flutter SDK, extracting it, configuring the system path to the Flutter bin, and verifying with flutter doctor.
Install Android Studio and configure Flutter in the IDE by installing the Dart and Flutter plugins, set up Android SDK command line tools, and accept licenses to complete Flutter doctor.
Learn to create and launch an Android Virtual Device in Android Studio on Windows, install apps, and test Flutter apps using a device like Pixel 7 Pro with Android 14.
Set up the flutter sdk on macOS by downloading the appropriate zip and placing it in a development folder; add flutter to your path and verify with flutter version.
Install and configure Android Studio to build Flutter apps, including downloading the correct version for your Mac chip, installing the Flutter plugin, restarting the IDE, and enabling Flutter project creation.
Install and configure Xcode on macOS to build flutter iOS apps, then integrate with Android Studio for running on iOS.
Create a new Flutter project in Android Studio, configure Kotlin for Android and Swift for iOS, and run the starter counter app on the iOS simulator (and Android emulator).
Create and configure an Android emulator on macOS, download Android 14, launch the Pixel 7, install and run the Flutter app inside the emulator.
Create a new Flutter project, run it in an emulator, and build a simple translation GUI with a text field, translate button, and a display area for translated text.
Enable on-device translation in flutter with Google ml kit text translation, supporting 50 languages and dynamic model management. Learn to install and configure the library via pub.dev and pubspec.yaml.
Create an on-device translator by configuring source and target languages (English to Spanish), initialize in init state, and verify or download language models with the model manager before enabling translation.
Implement on-device translation in Flutter by checking and downloading language models, capturing user input from a text field, and translating text when both models are downloaded.
Enable real-time translation in a Flutter app by removing the translate button and translating as the user types using on-device models, with translation updating instantly.
Declare the source and target languages globally with a translate language object to avoid hardcoding, enabling quick setups for language pairs like Russian to French.
Design and refine the Flutter app's user interface by configuring the app bar, text fields, and cards with shadows, rounded corners, padding, and a light gray background.
Design and implement a speak-to-text feature in a Flutter app by adding a clickable mic icon inside a circular card. Display real-time translations as the user speaks.
Implement speech recognition in a Flutter app using the speech to text library. Configure iOS and Android permissions, update pubspec, and modify Info.plist and AndroidManifest.xml to convert voice to text.
Initialize a speech to text object in Flutter, start listening, and display recognized words in a text field. Import library and test microphone permissions for voice to text conversion.
Speak into the mic to convert speech to text, then perform translations in real time within a Flutter app, updating the text field with the translated output.
Improve gui handling of long text in Flutter by increasing max lines in text fields and enabling scrollable translations with a single child scroll view.
Switch source and target languages in a flutter translator to speak French and translate to English. Explore configuring speech to text with locale IDs and listing device languages.
Fixes and improvements in speech recognition address updating the locale when changing the source language, removing hard-coded locale IDs, and relying on English by default.
Learn to design a text to speech interface in a real-time translator app, placing a voice icon in the top-right of the translation card to play the spoken translation.
Learn to implement text-to-speech in flutter using the flutter tts library, install the dependency, and run pub get. Configure Android SDK 21 and TTS service intent in the Android manifest.
Initialize the flutter tts object, import the flutter tts library, and use speak to vocalize the translated text when the voice icon is pressed, testing with French to English.
Explore flutter tts library capabilities by listing supported languages with get languages and switching to English or Spanish for translation with set language.
Add dropdowns for source and target languages in a Flutter app, populate them with Google ML Kit translate languages, and update the selected values with setState on change.
Test language selection and switching with a dropdown, download the Irish model, monitor progress, and verify the translation of hello into Irish.
Enhance the language app UI by hiding dropdown underlines, wrapping dropdowns with widgets, and adjusting scaffold resize to avoid bottom inset so the keyboard no longer pushes the GUI.
Add a dropdown to select source and target languages and enable speech-to-text with translation. Build a locale IDs map to drive listening and flutter tts in the chosen languages.
Test speech-to-text in a real-time translator app by selecting English and Spanish as source languages, then translating to the target language to verify dynamic multilingual recognition.
Update the text-to-speech feature to speak translations in the selected language by creating a dedicated languages map for Flutter TTS, adapting language codes, and setting the language.
Enable real-time speech recognition and text-to-speech for all languages in your Flutter app by using language maps, checking downloads, and prompting users to install missing languages.
Enable real-time text-to-speech in Flutter by wiring a multi-language map to Flutter TTS, letting users select a target language from a dropdown and hear translated text without downloading data.
Separate the home screen into a new translation screen file inside a screens folder, create a stateful translation widget, update main, and run to verify translation.
Add a language identification feature to detect the language of pasted text in Flutter and translate it to a chosen target language, improving automatic translation.
Implement language detection in a Flutter app using Google ML Kit language id from pub.dev. Create a language identifier, call identify language with a 0.5 confidence threshold, and drive translation.
Detect the input language code, select the matching source language, download the model, and automatically translate text in real time, with handling for unsupported languages.
Enable or disable language identification with a switch in the app bar; when on, the app detects language before translating, otherwise it translates directly, improving translation speed.
Design the home screen user interface for document translation by restructuring language dropdowns, adding image icons for gallery and camera capture, and connect text recognition and translation of image content.
Learn to implement the image picker in Flutter to select or capture images via gallery or camera, configure iOS permissions in Info.plist, and display the image with state updates.
Enhance the vision screen by wrapping the image in a card, adding margins, and displaying recognized text in a responsive second card using media query sizing.
Integrate Google ML Kit text recognition in a Flutter app by installing the pub dependency and using its API to detect blocks, lines, elements, and symbols with language codes.
Learn to implement text recognition in Flutter by initializing a text recognizer, converting images to input formats, processing images, and displaying recognized text in a scrollable UI.
Create a device translator in Flutter to translate recognized text from images into a chosen language, passing it to the VM screen for on-screen output.
Learn to use Flutter's custom paint with a custom image painter to draw a document image on a canvas and hide the original text while displaying translated text.
Hide text in Flutter by drawing white rectangles over recognized lines on a canvas, then translate each line and render the translation with a custom image painter.
Display translated text on the original document in real-time Flutter apps by drawing a text span within a bounding box and painting it at that location.
Build a Real-Time Translator App with Flutter and NLP – Translate Text, Voice & Documents Instantly!
Are you ready to level up your Flutter skills and build a real-time AI-powered translation app for both Android and iOS?
Welcome to “Build NLP-Powered Apps with Flutter (Dart)” – the ultimate hands-on course where you’ll create a feature-rich mobile translation app using Flutter and Natural Language Processing (NLP).
Whether you're building for Android or iOS, you'll learn to combine machine learning, voice processing, and text recognition to create intelligent, real-time translation apps.
What You’ll Learn
In this project-based course, you’ll build a powerful real-time translator app in Flutter with features like:
Text & Voice Language Translation – Translate between multiple languages in real time
Speech-to-Text – Convert spoken words into text in various languages
Text-to-Speech – Read out translated content in the selected language
Language Detection – Automatically detect and process the input language
Document Translation – Scan documents via camera, extract text, and translate
Overlay Translations on Images – Display translated text directly on the scanned document image
Professional UI/UX – Build clean, modern, and user-friendly app designs
Cross-Platform Support – Build once, run on both Android and iOS devices
Technologies & Tools You’ll Use
Flutter (Dart) – For cross-platform mobile development
Natural Language Processing (NLP) – To build intelligent language features
Machine Learning Models – For translation, detection, and recognition
OCR (Optical Character Recognition) – To extract text from images and documents
Speech Recognition – To convert user voice input into text
Text-to-Speech (TTS) – To convert translated text into spoken output
Google ML Kit / AI APIs – For seamless AI integrations
Who This Course is For
This course is ideal for:
Beginner Flutter developers wanting to explore AI and real-world apps
Mobile developers looking to integrate powerful NLP features
AI & NLP enthusiasts eager to build hands-on intelligent apps
Freelancers & indie developers aiming to create and sell AI-powered apps
Anyone interested in real-time translation, language apps, and cross-platform development
Why Take This Course?
Build a Complete Real-Time Translation App – From scratch to deployment
Learn Real-Time Voice & Text Processing – With speech-to-text and OCR
Integrate Machine Learning into Flutter – NLP, language ID, and translation models
Gain Career-Boosting Skills – AI, Flutter, and mobile development combined
Create a Portfolio-Ready Project – Impress clients or employers with your work
By the End of This Course, You Will:
Build and deploy a real-time NLP-powered app for Android and iOS
Integrate AI and NLP technologies in your Flutter apps
Gain expertise in OCR, voice recognition, translation, and text-to-speech
Confidently use Google’s ML Kit or similar AI tools in mobile apps
Build real-world apps that solve language problems across text, voice, and documents
Why Choose Flutter + NLP?
Flutter: A fast, flexible, and powerful UI toolkit by Google for cross-platform development
NLP (Natural Language Processing): The AI field that powers intelligent communication and language understanding
Together: They help you build next-generation apps that read, speak, and translate in real-time
Course Highlights
5+ Hours of HD Video Lessons
Downloadable Source Code Worth $4000+
Step-by-Step Project-Based Instruction
Build & Run Apps on Android & iOS
Hands-On Learning with Real-World Use Cases
Lifetime Access + Free Updates
This course is your complete guide to building real-time voice and document translator apps with Flutter and NLP.
Join today and start creating intelligent apps that understand and speak any language!